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    <title>The Turing Podcast</title>
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    <description>The Turing Podcast is an exciting podcast from The Alan Turing Institute, the UK’s national institute for data science and artificial intelligence.</description>
    <pubDate>Tue, 17 Feb 2026 08:00:00 +0000</pubDate>
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    <copyright>Copyright The Alan Turing Institute 2024 All rights reserved.</copyright>
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          <itunes:summary>The Turing Podcast is an exciting new podcast from The Alan Turing Institute, the UK’s national institute for data science and artificial intelligence.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
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    <item>
        <title>The Survival of the Fittest Route: Genetic Algorithms in Shipping and Sustainability</title>
        <itunes:title>The Survival of the Fittest Route: Genetic Algorithms in Shipping and Sustainability</itunes:title>
        <link>https://turing.podbean.com/e/the-survival-of-the-fittest-route-genetic-algorithms-in-shipping-and-sustainability/</link>
                    <comments>https://turing.podbean.com/e/the-survival-of-the-fittest-route-genetic-algorithms-in-shipping-and-sustainability/#comments</comments>        <pubDate>Tue, 17 Feb 2026 08:00:00 +0000</pubDate>
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                                    <description><![CDATA[<p>How can the study of ant colonies and evolutionary theory help us ensure the resilience and sustainability of global shipping?</p>
<p>In this episode, host Amelia Jabry is joined by Professor Adam Sobey (Mission Director for Sustainability at the Alan Turing Institute) and Senior Applied Scientist Dr. Przemyslaw (Slaw) Grudniewski from Theyr. Together, they explore the ‘evolution’ of shipping route optimisation - from early concepts proposed by Alan Turing to cutting-edge Multi-Objective Genetic Algorithms.</p>
<p>Discover how these ‘survival of the fittest’ models are being used to navigate the complex world of charter party agreements, fuel efficiency, and autonomous vessels. They also dive into the environmental impact of rerouting, discussing how a 1% change in fuel consumption can protect vital megafauna like whales, and what the melting Arctic means for the future of global trade.</p>
<p> </p>
<p>Chapter Markers</p>
<p>0:30 | Co-Host Introduction: Professor Adam Sobey</p>
<ul>
<li>Introduction of Adam Sobey, Mission Director for Sustainability at the Alan Turing Institute and Professor at the University of Southampton.</li>
</ul>
<p>1:20 | Guest Introduction: Dr. Przemyslaw (Slaw) Grudniewski</p>
<ul>
<li>Introduction of Slava, Senior Applied Scientist atTheyr</li>
<li>The history of Adam and Slava’s collaboration, starting from Slava's PhD in 2015.</li>
</ul>
<p>4:30 | The Path to Genetic Algorithms</p>
<ul>
<li>Why the team focused on genetic algorithms, including the influence of a talk at the University of Bristol on co-evolution mechanisms.</li>
</ul>
<p>5:00 | Why Shipping Matters: The Ever Given Incident</p>
<ul>
<li>The significance of global trade by sea (80-90%) and the 2021 Suez Canal blockage by theEver Given.</li>
</ul>
<p>6:20 | The Sustainability Imperative</p>
<ul>
<li>Shipping currently accounts for 2-3% of world emissions, emphasizing the massive need for reduced costs and improved sustainability.</li>
</ul>
<p>7:15 | Defining Genetic Algorithms</p>
<ul>
<li>Explaining unsupervised learning algorithms based on "survival of the fittest" and evolutionary mechanics.</li>
</ul>
<p>8:40 | Applying Evolutionary Principles to Route Optimisation</p>
<ul>
<li>How routes are treated as individuals that create "offspring" through crossover and mutation.</li>
</ul>
<p>10:20 | Multi-Objective Genetic Algorithms</p>
<ul>
<li>"There is no one best route"—balancing conflicting goals like voyage time vs. fuel consumption.</li>
<li>Explaining why multi-objective approaches provide a set of optimal solutions rather than a single answer.</li>
</ul>
<p>11:00 | Charter Party Agreements &amp; Alternative Fuels</p>
<ul>
<li>The complexity of "rental agreements" (charter parties) and the shift toward net-zero fuels like ammonia, hydrogen, and nuclear.</li>
</ul>
<p>12:20 | The Rise of Fully Autonomous Vessels</p>
<ul>
<li>Navigating the challenges of crewless ships and how they allow for real-time route adjustments.</li>
</ul>
<p>13:30 | Sustainability Benefits of Autonomy</p>
<ul>
<li>Removing crew-related weight can lead to estimated fuel reductions of around 20%.</li>
</ul>
<p>14:40 | Safety and Regulation</p>
<ul>
<li>The role of the Alan Turing Institute and Lloyd’s Register in developing standards and validation for autonomous systems.</li>
</ul>
<p>16:15 | Risks: Cyber Threats and Bad Actors</p>
<ul>
<li>Addressing piracy, cybersecurity risks, and the safety of alternative fuel sources.</li>
</ul>
<p>18:00 | Why Genetic Algorithms Win</p>
<ul>
<li>Comparing genetic algorithms against local search methods like A* and Dijkstra for complex, real-world problems.</li>
</ul>
<p>19:00 | Top Performance: cMLSGA</p>
<ul>
<li>ThecMLSGA (Convolutional Multi-Level Selection Genetic Algorithm) and its 7-8% improvement over other models.</li>
<li>This represents a saving of 50 to 380 tonnes of fuel per day for large vessels.</li>
</ul>
<p>20:20 | History: From Alan Turing to Today</p>
<ul>
<li>How the field traces back to Turing’s 1948 ideas of "child-like" intelligence that learns and evolves.</li>
</ul>
<p>22:20 | Ants, Tribes, and Co-Evolution</p>
<ul>
<li>Using the study of ant colonies and human tribal behaviour to understand collective fitness and reproduction.</li>
</ul>
<p>23:50 | Scaling Solutions through Collectives</p>
<ul>
<li>Applying the concept of "collectives" to solve large-scale optimisation problems through collaboration.</li>
</ul>
<p>25:25 | Multi-Level Selection</p>
<ul>
<li>How "groups of individuals" (collectives) can compete and work together to look at different objectives simultaneously.</li>
</ul>
<p>26:20 | Collective vs. Convergence-Based Algorithms</p>
<ul>
<li>Why maintaining diversity in a population is more effective than focusing on a single "perfect" solution too early.</li>
<li>Diversity provides better and more informed choices with the data at hand.</li>
</ul>
<p>28:00 | Success Stories: TVOS and Whale Protection</p>
<ul>
<li>TheTVOS (Theyr Voyage Optimisation Software) and its real-world impact.</li>
<li>The importance of protecting marine life and megafauna.</li>
</ul>
<p>29:50 | Navigating the Environment</p>
<ul>
<li>The difficulty of rerouting massive ships and the role of deep learning vs. genetic algorithms in icy environments.</li>
</ul>
<p>32:50 | The Arctic and New Trade Routes</p>
<ul>
<li>How melting sea ice is opening new routes and the resulting need for specialized "ice-class" vessels.</li>
</ul>
<p>35:50 | Industry Adoption and Client Surprises</p>
<ul>
<li>Overcoming the lack of maritime background to deliver results that surprise industry veterans.</li>
</ul>
<p>38:30 | The Future: Power Prediction Models</p>
<ul>
<li>What’s next for the field, including more advanced predictive modelling.</li>
</ul>
<p>41:00 | Summary and the Power of Collaboration</p>
<ul>
<li>A hopeful look at how the Alan Turing Institute acts as a convening power for sustainability research.</li>
</ul>
]]></description>
                                                            <content:encoded><![CDATA[<p>How can the study of ant colonies and evolutionary theory help us ensure the resilience and sustainability of global shipping?</p>
<p>In this episode, host Amelia Jabry is joined by Professor Adam Sobey (Mission Director for Sustainability at the Alan Turing Institute) and Senior Applied Scientist Dr. Przemyslaw (Slaw) Grudniewski from Theyr. Together, they explore the ‘evolution’ of shipping route optimisation - from early concepts proposed by Alan Turing to cutting-edge Multi-Objective Genetic Algorithms.</p>
<p>Discover how these ‘survival of the fittest’ models are being used to navigate the complex world of charter party agreements, fuel efficiency, and autonomous vessels. They also dive into the environmental impact of rerouting, discussing how a 1% change in fuel consumption can protect vital megafauna like whales, and what the melting Arctic means for the future of global trade.</p>
<p> </p>
<p>Chapter Markers</p>
<p>0:30 | Co-Host Introduction: Professor Adam Sobey</p>
<ul>
<li>Introduction of Adam Sobey, Mission Director for Sustainability at the Alan Turing Institute and Professor at the University of Southampton.</li>
</ul>
<p>1:20 | Guest Introduction: Dr. Przemyslaw (Slaw) Grudniewski</p>
<ul>
<li>Introduction of Slava, Senior Applied Scientist atTheyr</li>
<li>The history of Adam and Slava’s collaboration, starting from Slava's PhD in 2015.</li>
</ul>
<p>4:30 | The Path to Genetic Algorithms</p>
<ul>
<li>Why the team focused on genetic algorithms, including the influence of a talk at the University of Bristol on co-evolution mechanisms.</li>
</ul>
<p>5:00 | Why Shipping Matters: The Ever Given Incident</p>
<ul>
<li>The significance of global trade by sea (80-90%) and the 2021 Suez Canal blockage by the<em>Ever Given</em>.</li>
</ul>
<p>6:20 | The Sustainability Imperative</p>
<ul>
<li>Shipping currently accounts for 2-3% of world emissions, emphasizing the massive need for reduced costs and improved sustainability.</li>
</ul>
<p>7:15 | Defining Genetic Algorithms</p>
<ul>
<li>Explaining unsupervised learning algorithms based on "survival of the fittest" and evolutionary mechanics.</li>
</ul>
<p>8:40 | Applying Evolutionary Principles to Route Optimisation</p>
<ul>
<li>How routes are treated as individuals that create "offspring" through crossover and mutation.</li>
</ul>
<p>10:20 | Multi-Objective Genetic Algorithms</p>
<ul>
<li>"There is no one best route"—balancing conflicting goals like voyage time vs. fuel consumption.</li>
<li>Explaining why multi-objective approaches provide a set of optimal solutions rather than a single answer.</li>
</ul>
<p>11:00 | Charter Party Agreements &amp; Alternative Fuels</p>
<ul>
<li>The complexity of "rental agreements" (charter parties) and the shift toward net-zero fuels like ammonia, hydrogen, and nuclear.</li>
</ul>
<p>12:20 | The Rise of Fully Autonomous Vessels</p>
<ul>
<li>Navigating the challenges of crewless ships and how they allow for real-time route adjustments.</li>
</ul>
<p>13:30 | Sustainability Benefits of Autonomy</p>
<ul>
<li>Removing crew-related weight can lead to estimated fuel reductions of around 20%.</li>
</ul>
<p>14:40 | Safety and Regulation</p>
<ul>
<li>The role of the Alan Turing Institute and Lloyd’s Register in developing standards and validation for autonomous systems.</li>
</ul>
<p>16:15 | Risks: Cyber Threats and Bad Actors</p>
<ul>
<li>Addressing piracy, cybersecurity risks, and the safety of alternative fuel sources.</li>
</ul>
<p>18:00 | Why Genetic Algorithms Win</p>
<ul>
<li>Comparing genetic algorithms against local search methods like A* and Dijkstra for complex, real-world problems.</li>
</ul>
<p>19:00 | Top Performance: cMLSGA</p>
<ul>
<li>ThecMLSGA (Convolutional Multi-Level Selection Genetic Algorithm) and its 7-8% improvement over other models.</li>
<li>This represents a saving of 50 to 380 tonnes of fuel per day for large vessels.</li>
</ul>
<p>20:20 | History: From Alan Turing to Today</p>
<ul>
<li>How the field traces back to Turing’s 1948 ideas of "child-like" intelligence that learns and evolves.</li>
</ul>
<p>22:20 | Ants, Tribes, and Co-Evolution</p>
<ul>
<li>Using the study of ant colonies and human tribal behaviour to understand collective fitness and reproduction.</li>
</ul>
<p>23:50 | Scaling Solutions through Collectives</p>
<ul>
<li>Applying the concept of "collectives" to solve large-scale optimisation problems through collaboration.</li>
</ul>
<p>25:25 | Multi-Level Selection</p>
<ul>
<li>How "groups of individuals" (collectives) can compete and work together to look at different objectives simultaneously.</li>
</ul>
<p>26:20 | Collective vs. Convergence-Based Algorithms</p>
<ul>
<li>Why maintaining diversity in a population is more effective than focusing on a single "perfect" solution too early.</li>
<li>Diversity provides better and more informed choices with the data at hand.</li>
</ul>
<p>28:00 | Success Stories: TVOS and Whale Protection</p>
<ul>
<li>TheTVOS (Theyr Voyage Optimisation Software) and its real-world impact.</li>
<li>The importance of protecting marine life and megafauna.</li>
</ul>
<p>29:50 | Navigating the Environment</p>
<ul>
<li>The difficulty of rerouting massive ships and the role of deep learning vs. genetic algorithms in icy environments.</li>
</ul>
<p>32:50 | The Arctic and New Trade Routes</p>
<ul>
<li>How melting sea ice is opening new routes and the resulting need for specialized "ice-class" vessels.</li>
</ul>
<p>35:50 | Industry Adoption and Client Surprises</p>
<ul>
<li>Overcoming the lack of maritime background to deliver results that surprise industry veterans.</li>
</ul>
<p>38:30 | The Future: Power Prediction Models</p>
<ul>
<li>What’s next for the field, including more advanced predictive modelling.</li>
</ul>
<p>41:00 | Summary and the Power of Collaboration</p>
<ul>
<li>A hopeful look at how the Alan Turing Institute acts as a convening power for sustainability research.</li>
</ul>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/96y4ski3yv6v3n9q/TuringPod_sustainability01_3.mp3" length="41525828" type="audio/mpeg"/>
        <itunes:summary><![CDATA[How can the study of ant colonies and evolutionary theory help us ensure the resilience and sustainability of global shipping?
In this episode, host Amelia Jabry is joined by Professor Adam Sobey (Mission Director for Sustainability at the Alan Turing Institute) and Senior Applied Scientist Dr. Przemyslaw (Slaw) Grudniewski from Theyr. Together, they explore the ‘evolution’ of shipping route optimisation - from early concepts proposed by Alan Turing to cutting-edge Multi-Objective Genetic Algorithms.
Discover how these ‘survival of the fittest’ models are being used to navigate the complex world of charter party agreements, fuel efficiency, and autonomous vessels. They also dive into the environmental impact of rerouting, discussing how a 1% change in fuel consumption can protect vital megafauna like whales, and what the melting Arctic means for the future of global trade.
 
Chapter Markers
0:30 | Co-Host Introduction: Professor Adam Sobey

Introduction of Adam Sobey, Mission Director for Sustainability at the Alan Turing Institute and Professor at the University of Southampton.

1:20 | Guest Introduction: Dr. Przemyslaw (Slaw) Grudniewski

Introduction of Slava, Senior Applied Scientist atTheyr
The history of Adam and Slava’s collaboration, starting from Slava's PhD in 2015.

4:30 | The Path to Genetic Algorithms

Why the team focused on genetic algorithms, including the influence of a talk at the University of Bristol on co-evolution mechanisms.

5:00 | Why Shipping Matters: The Ever Given Incident

The significance of global trade by sea (80-90%) and the 2021 Suez Canal blockage by theEver Given.

6:20 | The Sustainability Imperative

Shipping currently accounts for 2-3% of world emissions, emphasizing the massive need for reduced costs and improved sustainability.

7:15 | Defining Genetic Algorithms

Explaining unsupervised learning algorithms based on "survival of the fittest" and evolutionary mechanics.

8:40 | Applying Evolutionary Principles to Route Optimisation

How routes are treated as individuals that create "offspring" through crossover and mutation.

10:20 | Multi-Objective Genetic Algorithms

"There is no one best route"—balancing conflicting goals like voyage time vs. fuel consumption.
Explaining why multi-objective approaches provide a set of optimal solutions rather than a single answer.

11:00 | Charter Party Agreements &amp; Alternative Fuels

The complexity of "rental agreements" (charter parties) and the shift toward net-zero fuels like ammonia, hydrogen, and nuclear.

12:20 | The Rise of Fully Autonomous Vessels

Navigating the challenges of crewless ships and how they allow for real-time route adjustments.

13:30 | Sustainability Benefits of Autonomy

Removing crew-related weight can lead to estimated fuel reductions of around 20%.

14:40 | Safety and Regulation

The role of the Alan Turing Institute and Lloyd’s Register in developing standards and validation for autonomous systems.

16:15 | Risks: Cyber Threats and Bad Actors

Addressing piracy, cybersecurity risks, and the safety of alternative fuel sources.

18:00 | Why Genetic Algorithms Win

Comparing genetic algorithms against local search methods like A* and Dijkstra for complex, real-world problems.

19:00 | Top Performance: cMLSGA

ThecMLSGA (Convolutional Multi-Level Selection Genetic Algorithm) and its 7-8% improvement over other models.
This represents a saving of 50 to 380 tonnes of fuel per day for large vessels.

20:20 | History: From Alan Turing to Today

How the field traces back to Turing’s 1948 ideas of "child-like" intelligence that learns and evolves.

22:20 | Ants, Tribes, and Co-Evolution

Using the study of ant colonies and human tribal behaviour to understand collective fitness and reproduction.

23:50 | Scaling Solutions through Collectives

Applying the concept of "collectives" to solve large-scale optimisation problems through collaboration.

25:25 | Multi-Level Selection

How "groups of individuals" (collectives]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2594</itunes:duration>
        <itunes:season>5</itunes:season>
        <itunes:episode>47</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <podcast:chapters url="https://mcdn.podbean.com/mf/web/jrc86y9fk5pzs3mh/TuringPod_sustainability01_3_chapters.json" type="application/json" />    </item>
    <item>
        <title>Navigating Change: AI in Arctic Sea Ice Forecasting</title>
        <itunes:title>Navigating Change: AI in Arctic Sea Ice Forecasting</itunes:title>
        <link>https://turing.podbean.com/e/navigating-change-ai-in-arctic-sea-ice-forecasting/</link>
                    <comments>https://turing.podbean.com/e/navigating-change-ai-in-arctic-sea-ice-forecasting/#comments</comments>        <pubDate>Thu, 06 Nov 2025 08:00:00 +0000</pubDate>
        <guid isPermaLink="false">turing.podbean.com/5b1df400-8c03-359b-b68a-d99dcf80c5fd</guid>
                                    <description><![CDATA[<p>The Arctic is undergoing rapid changes due to climate change, making sea ice forecasting increasingly important. In this episode of the Turing Podcast, hosts Amelia Jabry and Dr. Sophie Arana discuss the critical role of AI models like IceNet in predicting sea ice conditions and aiding conservation efforts. Featuring Dr. Ellie Bowler from the British Antarctic Survey, the conversation dives into the technical details of IceNet, its applications for wildlife conservation, and the challenges of predicting sea ice dynamics. The discussion also covers the importance of these predictions for indigenous communities and wildlife that rely on the frozen Arctic landscape. Learn how AI is revolutionising our approach to these urgent environmental challenges.</p>
<p>Read more about our environmental forecasting work here: <a href='https://www.turing.ac.uk/blog/democratising-environmental-forecasting-age-ai'>https://www.turing.ac.uk/blog/democratising-environmental-forecasting-age-ai</a> </p>
<p>Explore IceNet: <a href='https://icenet.ai/'>https://icenet.ai/</a></p>
<p>Find out more about Dr Ellie Bowler's publications: <a href='https://www.bas.ac.uk/profile/eller/'>https://www.bas.ac.uk/profile/eller/</a></p>
<p>Read more about Dr Sophie Arana here: <a href='https://www.turing.ac.uk/people/dr-sophie-arana'>https://www.turing.ac.uk/people/dr-sophie-arana</a> 

</p>
<p> </p>
<p>Chapters:</p>
00:00 Introduction to Arctic Climate Change
00:39 Meet the your host Amelia and co-host Dr Sophie Arana 
00:57 Understanding the Role of a Research Application Manager
01:47 Introduction to ICE Net
02:47 AI vs. Traditional Physics-based Forecasting Models
03:40 Human Expertise and AI Collaboration
04:56 Introducing Dr. Ellie Bowler and her sea ice and caribou migration forecasting research
06:21 Challenges in Sea Ice Forecasting
10:01 Caribou Migration and Conservation
12:30 Impact of Human Activities on Arctic Wildlife
16:38 Innovative Conservation Methods
23:25 Future of ICE Net and AI in Conservation
26:54 Conclusion and Further Resources]]></description>
                                                            <content:encoded><![CDATA[<p>The Arctic is undergoing rapid changes due to climate change, making sea ice forecasting increasingly important. In this episode of the Turing Podcast, hosts Amelia Jabry and Dr. Sophie Arana discuss the critical role of AI models like IceNet in predicting sea ice conditions and aiding conservation efforts. Featuring Dr. Ellie Bowler from the British Antarctic Survey, the conversation dives into the technical details of IceNet, its applications for wildlife conservation, and the challenges of predicting sea ice dynamics. The discussion also covers the importance of these predictions for indigenous communities and wildlife that rely on the frozen Arctic landscape. Learn how AI is revolutionising our approach to these urgent environmental challenges.</p>
<p>Read more about our environmental forecasting work here: <a href='https://www.turing.ac.uk/blog/democratising-environmental-forecasting-age-ai'>https://www.turing.ac.uk/blog/democratising-environmental-forecasting-age-ai</a> </p>
<p>Explore IceNet: <a href='https://icenet.ai/'>https://icenet.ai/</a></p>
<p>Find out more about Dr Ellie Bowler's publications: <a href='https://www.bas.ac.uk/profile/eller/'>https://www.bas.ac.uk/profile/eller/</a></p>
<p>Read more about Dr Sophie Arana here: <a href='https://www.turing.ac.uk/people/dr-sophie-arana'>https://www.turing.ac.uk/people/dr-sophie-arana</a> <br>
<br>
</p>
<p> </p>
<p>Chapters:</p>
00:00 Introduction to Arctic Climate Change
00:39 Meet the your host Amelia and co-host Dr Sophie Arana 
00:57 Understanding the Role of a Research Application Manager
01:47 Introduction to ICE Net
02:47 AI vs. Traditional Physics-based Forecasting Models
03:40 Human Expertise and AI Collaboration
04:56 Introducing Dr. Ellie Bowler and her sea ice and caribou migration forecasting research
06:21 Challenges in Sea Ice Forecasting
10:01 Caribou Migration and Conservation
12:30 Impact of Human Activities on Arctic Wildlife
16:38 Innovative Conservation Methods
23:25 Future of ICE Net and AI in Conservation
26:54 Conclusion and Further Resources]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/abubgx9mvim2km3n/Turing_Podcast_ep_2_Sea_Ice_FINAL_7l0vz.mp3" length="26924390" type="audio/mpeg"/>
        <itunes:summary><![CDATA[The Arctic is undergoing rapid changes due to climate change, making sea ice forecasting increasingly important. In this episode of the Turing Podcast, hosts Amelia Jabry and Dr. Sophie Arana discuss the critical role of AI models like IceNet in predicting sea ice conditions and aiding conservation efforts. Featuring Dr. Ellie Bowler from the British Antarctic Survey, the conversation dives into the technical details of IceNet, its applications for wildlife conservation, and the challenges of predicting sea ice dynamics. The discussion also covers the importance of these predictions for indigenous communities and wildlife that rely on the frozen Arctic landscape. Learn how AI is revolutionising our approach to these urgent environmental challenges.
Read more about our environmental forecasting work here: https://www.turing.ac.uk/blog/democratising-environmental-forecasting-age-ai 
Explore IceNet: https://icenet.ai/
Find out more about Dr Ellie Bowler's publications: https://www.bas.ac.uk/profile/eller/
Read more about Dr Sophie Arana here: https://www.turing.ac.uk/people/dr-sophie-arana 
 
Chapters:
00:00 Introduction to Arctic Climate Change
00:39 Meet the your host Amelia and co-host Dr Sophie Arana 
00:57 Understanding the Role of a Research Application Manager
01:47 Introduction to ICE Net
02:47 AI vs. Traditional Physics-based Forecasting Models
03:40 Human Expertise and AI Collaboration
04:56 Introducing Dr. Ellie Bowler and her sea ice and caribou migration forecasting research
06:21 Challenges in Sea Ice Forecasting
10:01 Caribou Migration and Conservation
12:30 Impact of Human Activities on Arctic Wildlife
16:38 Innovative Conservation Methods
23:25 Future of ICE Net and AI in Conservation
26:54 Conclusion and Further Resources]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1682</itunes:duration>
        <itunes:season>5</itunes:season>
        <itunes:episode>46</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <podcast:chapters url="https://mcdn.podbean.com/mf/web/s5vekqfkkf49v7ng/Turing_Podcast_ep_2_Sea_Ice_FINAL_7l0vz_chapters.json" type="application/json" />    </item>
    <item>
        <title>The Cyber Cold War: How AI is Defending Our Critical National Infrastructure</title>
        <itunes:title>The Cyber Cold War: How AI is Defending Our Critical National Infrastructure</itunes:title>
        <link>https://turing.podbean.com/e/the-cyber-cold-war-how-ai-is-defending-our-critical-national-infrastructure/</link>
                    <comments>https://turing.podbean.com/e/the-cyber-cold-war-how-ai-is-defending-our-critical-national-infrastructure/#comments</comments>        <pubDate>Wed, 02 Jul 2025 07:00:00 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/684dc5ac-5101-3b2b-aabf-269e99010536</guid>
                                    <description><![CDATA[<p>New podcast - defending our critical national infrastructure.</p>
<p> </p>
<p>Podcast host Amelia Jabry is joined by co-host and Turing Principal Research Scientist, Vasilios Mavroudis to explore how AI is reshaping both the defence and attack of vital systems like healthcare, energy and transport. With the help of special guest, Microsoft’s Director of Global AI &amp; Cybersecurity Policy Nicholas Butts, they ask: how vulnerable are our power grids, water systems, and communications networks in the age of advanced AI? And what are organisations like the Alan Turing Institute and Microsoft are doing to protect these essential services?

</p>
<p>Episode Notes</p>
<p>Please find below a list of resources and news articles that were mentioned in the podcast: </p>
<ul>
<li><a href='https://www.microsoft.com/en-us/security/security-insider/intelligence-reports/microsoft-digital-defense-report-2024?msockid=3202e28d8fe7682006aaf6248ef5696e'>Microsoft Digital Defense Report 2024</a></li>
<li><a href='https://airc.nist.gov/glossary/'>Glossary - AIRC</a></li>
<li><a href='https://www.microsoft.com/en-us/security/blog/2024/02/14/staying-ahead-of-threat-actors-in-the-age-of-ai/'>Staying ahead of threat actors in the age of AI | Microsoft Security Blog</a></li>
<li><a href='https://www.thestack.technology/ai-agent-whisperer-liberates-llm-to-spout-filthy-cardy-b-lyrics/'>https://www.thestack.technology/ai-agent-whisperer-liberates-llm-to-spout-filthy-cardy-b-lyrics/</a></li>
<li><a href='https://www.bbc.co.uk/news/articles/c0el31nqnpvo'>https://www.bbc.co.uk/news/articles/c0el31nqnpvo</a></li>
<li><a href='https://www.bbc.co.uk/news/articles/czx1qp64wrno'>https://www.bbc.co.uk/news/articles/czx1qp64wrno</a></li>
</ul>
<p> </p>
 ]]></description>
                                                            <content:encoded><![CDATA[<p>New podcast - defending our critical national infrastructure.</p>
<p> </p>
<p>Podcast host Amelia Jabry is joined by co-host and Turing Principal Research Scientist, Vasilios Mavroudis to explore how AI is reshaping both the defence and attack of vital systems like healthcare, energy and transport. With the help of special guest, Microsoft’s Director of Global AI &amp; Cybersecurity Policy Nicholas Butts, they ask: how vulnerable are our power grids, water systems, and communications networks in the age of advanced AI? And what are organisations like the Alan Turing Institute and Microsoft are doing to protect these essential services?<br>
<br>
</p>
<p>Episode Notes</p>
<p>Please find below a list of resources and news articles that were mentioned in the podcast: </p>
<ul>
<li><a href='https://www.microsoft.com/en-us/security/security-insider/intelligence-reports/microsoft-digital-defense-report-2024?msockid=3202e28d8fe7682006aaf6248ef5696e'>Microsoft Digital Defense Report 2024</a></li>
<li><a href='https://airc.nist.gov/glossary/'>Glossary - AIRC</a></li>
<li><a href='https://www.microsoft.com/en-us/security/blog/2024/02/14/staying-ahead-of-threat-actors-in-the-age-of-ai/'>Staying ahead of threat actors in the age of AI | Microsoft Security Blog</a></li>
<li><a href='https://www.thestack.technology/ai-agent-whisperer-liberates-llm-to-spout-filthy-cardy-b-lyrics/'>https://www.thestack.technology/ai-agent-whisperer-liberates-llm-to-spout-filthy-cardy-b-lyrics/</a></li>
<li><a href='https://www.bbc.co.uk/news/articles/c0el31nqnpvo'>https://www.bbc.co.uk/news/articles/c0el31nqnpvo</a></li>
<li><a href='https://www.bbc.co.uk/news/articles/czx1qp64wrno'>https://www.bbc.co.uk/news/articles/czx1qp64wrno</a></li>
</ul>
<p> </p>
 ]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/zgxwf3surc48849d/Final_CNI_TuringPod_04_mixdown79a7n.mp3" length="46687501" type="audio/mpeg"/>
        <itunes:summary><![CDATA[New podcast - defending our critical national infrastructure.
 
Podcast host Amelia Jabry is joined by co-host and Turing Principal Research Scientist, Vasilios Mavroudis to explore how AI is reshaping both the defence and attack of vital systems like healthcare, energy and transport. With the help of special guest, Microsoft’s Director of Global AI &amp; Cybersecurity Policy Nicholas Butts, they ask: how vulnerable are our power grids, water systems, and communications networks in the age of advanced AI? And what are organisations like the Alan Turing Institute and Microsoft are doing to protect these essential services?
Episode Notes
Please find below a list of resources and news articles that were mentioned in the podcast: 

Microsoft Digital Defense Report 2024
Glossary - AIRC
Staying ahead of threat actors in the age of AI | Microsoft Security Blog
https://www.thestack.technology/ai-agent-whisperer-liberates-llm-to-spout-filthy-cardy-b-lyrics/
https://www.bbc.co.uk/news/articles/c0el31nqnpvo
https://www.bbc.co.uk/news/articles/czx1qp64wrno

 
 ]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2917</itunes:duration>
        <itunes:season>5</itunes:season>
        <itunes:episode>45</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <podcast:chapters url="https://mcdn.podbean.com/mf/web/pbqj29wa4krc2uy8/Final_CNI_TuringPod_04_mixdown79a7n_chapters.json" type="application/json" />    </item>
    <item>
        <title>Defining AI safety</title>
        <itunes:title>Defining AI safety</itunes:title>
        <link>https://turing.podbean.com/e/defining-ai-safety/</link>
                    <comments>https://turing.podbean.com/e/defining-ai-safety/#comments</comments>        <pubDate>Tue, 12 Nov 2024 12:00:00 +0000</pubDate>
        <guid isPermaLink="false">turing.podbean.com/4ac63197-6c99-360c-9048-764798fa5778</guid>
                                    <description><![CDATA[<p>Ed and David chat with Professor Ibrahim Habli, Research Director at the Centre for Assuring Autonomy in the University of York, and director of the UKRI Centre for Doctoral Training in Safe AI Systems. The conversation covers the topic of defining and contextualising AI safety and risk, given existence of existing safety practices from other industries. Ibrahim has collaborated with The Alan Turing Institute on the "Trustworthy and Ethical Assurance platform", or "TEA" for short, an open-source tool for developing and communicating structured assurance arguments to show how data science and AI tech adheres to ethical principles.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Ed and David chat with Professor Ibrahim Habli, Research Director at the Centre for Assuring Autonomy in the University of York, and director of the UKRI Centre for Doctoral Training in Safe AI Systems. The conversation covers the topic of defining and contextualising AI safety and risk, given existence of existing safety practices from other industries. Ibrahim has collaborated with The Alan Turing Institute on the "Trustworthy and Ethical Assurance platform", or "TEA" for short, an open-source tool for developing and communicating structured assurance arguments to show how data science and AI tech adheres to ethical principles.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/dbsjaifb8hg4iw5n/Turing_Pod_Ibrahim_Habli_FINAL.mp3" length="78146681" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Ed and David chat with Professor Ibrahim Habli, Research Director at the Centre for Assuring Autonomy in the University of York, and director of the UKRI Centre for Doctoral Training in Safe AI Systems. The conversation covers the topic of defining and contextualising AI safety and risk, given existence of existing safety practices from other industries. Ibrahim has collaborated with The Alan Turing Institute on the "Trustworthy and Ethical Assurance platform", or "TEA" for short, an open-source tool for developing and communicating structured assurance arguments to show how data science and AI tech adheres to ethical principles.]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3255</itunes:duration>
                <itunes:episode>44</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>The cutting edge of emotional and cognitive neuroscience</title>
        <itunes:title>The cutting edge of emotional and cognitive neuroscience</itunes:title>
        <link>https://turing.podbean.com/e/the-cutting-edge-of-emotional-and-cognitive-neuroscience/</link>
                    <comments>https://turing.podbean.com/e/the-cutting-edge-of-emotional-and-cognitive-neuroscience/#comments</comments>        <pubDate>Thu, 04 Jul 2024 01:00:00 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/e32ec8ca-9a01-3d98-b9ed-6331039ba4c9</guid>
                                    <description><![CDATA[<p>On this episode, Bea and Jessie are joined by Becky Inkster and Mark Sheppard, co-founders of The Laß; a fusion of science, creativity and personal reflection.</p>
<p>Collaborating with famous musicians, dancers and members of the public, Becky and Mark use EEG brain activity technology to visualise poignant moments. They hope to offer both internal and external reflection opportunities to nurture personal growth and community bonds.</p>
<p>For more information visit -</p>
<p><a href='https://www.beckyinkster.com/the-lab'> https://www.beckyinkster.com/the-lab</a></p>
<p> </p>
<p>Don't forget to explore our shorter AI news podcast - <a href='https://open.spotify.com/show/3dj0qppvPaGDDnVvvoZCuv?si=28f72e9bbbc347ee'>too long didn't read</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>On this episode, Bea and Jessie are joined by Becky Inkster and Mark Sheppard, co-founders of The Laß; a fusion of science, creativity and personal reflection.</p>
<p>Collaborating with famous musicians, dancers and members of the public, Becky and Mark use EEG brain activity technology to visualise poignant moments. They hope to offer both internal and external reflection opportunities to nurture personal growth and community bonds.</p>
<p>For more information visit -</p>
<p><a href='https://www.beckyinkster.com/the-lab'> https://www.beckyinkster.com/the-lab</a></p>
<p> </p>
<p>Don't forget to explore our shorter AI news podcast - <a href='https://open.spotify.com/show/3dj0qppvPaGDDnVvvoZCuv?si=28f72e9bbbc347ee'>too long didn't read</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/v8vuexwy55wdse9b/Turing_PodcastThe_Lab_with_Becky_and_Markatlrv.mp3" length="66022906" type="audio/mpeg"/>
        <itunes:summary><![CDATA[On this episode, Bea and Jessie are joined by Becky Inkster and Mark Sheppard, co-founders of The Laß; a fusion of science, creativity and personal reflection.
Collaborating with famous musicians, dancers and members of the public, Becky and Mark use EEG brain activity technology to visualise poignant moments. They hope to offer both internal and external reflection opportunities to nurture personal growth and community bonds.
For more information visit -
 https://www.beckyinkster.com/the-lab
 
Don't forget to explore our shorter AI news podcast - too long didn't read]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2750</itunes:duration>
                <itunes:episode>43</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>AI for Cyber Defence (AICD) research centre</title>
        <itunes:title>AI for Cyber Defence (AICD) research centre</itunes:title>
        <link>https://turing.podbean.com/e/ai-for-cyber-defence-1714731730/</link>
                    <comments>https://turing.podbean.com/e/ai-for-cyber-defence-1714731730/#comments</comments>        <pubDate>Fri, 03 May 2024 15:00:00 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/8741b03a-78cb-386d-a991-4efdad879c22</guid>
                                    <description><![CDATA[<p class="p1">To what extent can a computer network be actively managed and defended by intelligent autonomous agents?</p>
<p class="p1">In this episode, Ed and Anneca talk to Vasilios Mavroudis and Chris Hicks explore this question and more. </p>
<p class="p1">Vas and Chris lead the Turing’s AI for Cyber Defence (AICD) research centre which seeks to fundamentally transform the way in which we secure digital systems through the development and application of cutting edge, deep-learning based approaches to intelligent agents. </p>
<p class="p1"> </p>
<p class="p1"><a href='https://www.turing.ac.uk/aicd'>Find more information about AICD here</a></p>
<p class="p1"> </p>
<p class="p1">Don't forget to explore our shorter AI in the news podcast - <a href='https://open.spotify.com/show/3dj0qppvPaGDDnVvvoZCuv?si=28f72e9bbbc347ee'>too long didn't read</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p class="p1">To what extent can a computer network be actively managed and defended by intelligent autonomous agents?</p>
<p class="p1">In this episode, Ed and Anneca talk to Vasilios Mavroudis and Chris Hicks explore this question and more. </p>
<p class="p1">Vas and Chris lead the Turing’s AI for Cyber Defence (AICD) research centre which seeks to fundamentally transform the way in which we secure digital systems through the development and application of cutting edge, deep-learning based approaches to intelligent agents. </p>
<p class="p1"> </p>
<p class="p1"><a href='https://www.turing.ac.uk/aicd'>Find more information about AICD here</a></p>
<p class="p1"> </p>
<p class="p1">Don't forget to explore our shorter AI in the news podcast - <a href='https://open.spotify.com/show/3dj0qppvPaGDDnVvvoZCuv?si=28f72e9bbbc347ee'>too long didn't read</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/7rhm3xkgtyg57qpi/AI_for_Cyber_Defence_2_mixdown6yexi.mp3" length="67122669" type="audio/mpeg"/>
        <itunes:summary><![CDATA[To what extent can a computer network be actively managed and defended by intelligent autonomous agents?
In this episode, Ed and Anneca talk to Vasilios Mavroudis and Chris Hicks explore this question and more. 
Vas and Chris lead the Turing’s AI for Cyber Defence (AICD) research centre which seeks to fundamentally transform the way in which we secure digital systems through the development and application of cutting edge, deep-learning based approaches to intelligent agents. 
 
Find more information about AICD here
 
Don't forget to explore our shorter AI in the news podcast - too long didn't read]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2796</itunes:duration>
                <itunes:episode>42</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Our AI Futures - Lord Chris Holmes and the AI Bill</title>
        <itunes:title>Our AI Futures - Lord Chris Holmes and the AI Bill</itunes:title>
        <link>https://turing.podbean.com/e/our-ai-futures-lord-chris-holmes-and-the-ai-bill/</link>
                    <comments>https://turing.podbean.com/e/our-ai-futures-lord-chris-holmes-and-the-ai-bill/#comments</comments>        <pubDate>Tue, 16 Apr 2024 16:00:00 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/2cc6f5ab-9d9e-3503-9bca-a4fbe5aed2ff</guid>
                                    <description><![CDATA[<p>On this episode of The Turing Podcast Bea and Anneca are joined by Lord Chris Holmes, Britain’s most successful Paralympic swimmer and an active member of the House of Lords with a policy focus on digital technology for public good.</p>
<p>Connect with Lord Holmes on<a href='https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.linkedin.com%2Fin%2Flord-chris-holmes%2F&amp;data=05%7C02%7Cjmaddox%40turing.ac.uk%7C748c744bd18e41e82a0308dc5d63d087%7C4395f4a7e4554f958a9f1fbaef6384f9%7C0%7C0%7C638487930522149025%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=Pd1xFSsr7BgHVz2Y%2FdjqUxU2PAYmRZNOgVa6dfxcI0Q%3D&amp;reserved=0'>  Linked In</a></p>
<p> </p>
<p>Explore our regular news AI news podcast, <a href='https://open.spotify.com/show/3dj0qppvPaGDDnVvvoZCuv?si=42cf4e6886784e94'>too long didn't read</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>On this episode of The Turing Podcast Bea and Anneca are joined by Lord Chris Holmes, Britain’s most successful Paralympic swimmer and an active member of the House of Lords with a policy focus on digital technology for public good.</p>
<p>Connect with Lord Holmes on<a href='https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.linkedin.com%2Fin%2Flord-chris-holmes%2F&amp;data=05%7C02%7Cjmaddox%40turing.ac.uk%7C748c744bd18e41e82a0308dc5d63d087%7C4395f4a7e4554f958a9f1fbaef6384f9%7C0%7C0%7C638487930522149025%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=Pd1xFSsr7BgHVz2Y%2FdjqUxU2PAYmRZNOgVa6dfxcI0Q%3D&amp;reserved=0'>  Linked In</a></p>
<p> </p>
<p>Explore our regular news AI news podcast, <a href='https://open.spotify.com/show/3dj0qppvPaGDDnVvvoZCuv?si=42cf4e6886784e94'>too long didn't read</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/x3fbtxtwjpecn3cj/Lord_Holmes_Podcast_mixdown26xm10.mp3" length="47692517" type="audio/mpeg"/>
        <itunes:summary><![CDATA[On this episode of The Turing Podcast Bea and Anneca are joined by Lord Chris Holmes, Britain’s most successful Paralympic swimmer and an active member of the House of Lords with a policy focus on digital technology for public good.
Connect with Lord Holmes on  Linked In
 
Explore our regular news AI news podcast, too long didn't read]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1987</itunes:duration>
                <itunes:episode>41</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Project Bluebird: Revolutionising Air Traffic Control with AI and digital twins</title>
        <itunes:title>Project Bluebird: Revolutionising Air Traffic Control with AI and digital twins</itunes:title>
        <link>https://turing.podbean.com/e/project-bluebird-revolutionising-air-traffic-control-with-ai-and-digital-twins/</link>
                    <comments>https://turing.podbean.com/e/project-bluebird-revolutionising-air-traffic-control-with-ai-and-digital-twins/#comments</comments>        <pubDate>Tue, 30 Jan 2024 13:03:10 +0000</pubDate>
        <guid isPermaLink="false">turing.podbean.com/5ff4395f-2997-321c-8292-4425eb6f36d9</guid>
                                    <description><![CDATA[<p>The Turing Podcast revisits Project Bluebird; a fascinating collaboration aiming to solve some of the biggest and most complex problems in air traffic control with digital twins and AI.</p>
<p>Join Ed as he sits down with Nick Pepper of The Alan Turing Institute, George De Ath of the University of Exeter and Marc Thomas of NATS - the team behind Project Bluebird.</p>
<p>First featured on our podcast in 2020, the team now provides a progress update at the midpoint mark. Learn how they are developing innovative AI to train a digital twin air traffic controller with the aim of enhancing aviation safety and functionality, and what the challenges are, integrating human expertise with machine intelligence.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>The Turing Podcast revisits Project Bluebird; a fascinating collaboration aiming to solve some of the biggest and most complex problems in air traffic control with digital twins and AI.</p>
<p>Join Ed as he sits down with Nick Pepper of The Alan Turing Institute, George De Ath of the University of Exeter and Marc Thomas of NATS - the team behind Project Bluebird.</p>
<p>First featured on our podcast in 2020, the team now provides a progress update at the midpoint mark. Learn how they are developing innovative AI to train a digital twin air traffic controller with the aim of enhancing aviation safety and functionality, and what the challenges are, integrating human expertise with machine intelligence.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/zap4qn/Turing_Podcast_Project_Bluebird_mixdown1.mp3" length="80232924" type="audio/mpeg"/>
        <itunes:summary><![CDATA[The Turing Podcast revisits Project Bluebird; a fascinating collaboration aiming to solve some of the biggest and most complex problems in air traffic control with digital twins and AI.
Join Ed as he sits down with Nick Pepper of The Alan Turing Institute, George De Ath of the University of Exeter and Marc Thomas of NATS - the team behind Project Bluebird.
First featured on our podcast in 2020, the team now provides a progress update at the midpoint mark. Learn how they are developing innovative AI to train a digital twin air traffic controller with the aim of enhancing aviation safety and functionality, and what the challenges are, integrating human expertise with machine intelligence.]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3342</itunes:duration>
        <itunes:season>4</itunes:season>
        <itunes:episode>40</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <podcast:transcript url="https://mcdn.podbean.com/mf/web/j6wkzk/transcript.srt" type="application/srt" />    </item>
    <item>
        <title>AI for Cyber Defence</title>
        <itunes:title>AI for Cyber Defence</itunes:title>
        <link>https://turing.podbean.com/e/ai-for-cyber-defence/</link>
                    <comments>https://turing.podbean.com/e/ai-for-cyber-defence/#comments</comments>        <pubDate>Thu, 21 Dec 2023 12:00:00 +0000</pubDate>
        <guid isPermaLink="false">turing.podbean.com/dbaddd4e-ae0c-345f-8087-0495ebf1f3c5</guid>
                                    <description><![CDATA[<p>This week the podcast, the hosts are joined by Kate Highnam and Myles Foley, both of whom are PhD candidates at Imperial College London working at the intersection of machine learning and cyber security. Kate and Myles were part of a team who last year won the CAGE challenge (Cyber Autonomy Gym for Experimentation), with their reinforcement learning-based solution. We chat about how advances in AI are being used to address challenges in cyber security, and what can and cannot be automated.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week the podcast, the hosts are joined by Kate Highnam and Myles Foley, both of whom are PhD candidates at Imperial College London working at the intersection of machine learning and cyber security. Kate and Myles were part of a team who last year won the CAGE challenge (Cyber Autonomy Gym for Experimentation), with their reinforcement learning-based solution. We chat about how advances in AI are being used to address challenges in cyber security, and what can and cannot be automated.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/6fjsuv/AI_for_Cyber_Defence9nvm1.mp3" length="43828423" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week the podcast, the hosts are joined by Kate Highnam and Myles Foley, both of whom are PhD candidates at Imperial College London working at the intersection of machine learning and cyber security. Kate and Myles were part of a team who last year won the CAGE challenge (Cyber Autonomy Gym for Experimentation), with their reinforcement learning-based solution. We chat about how advances in AI are being used to address challenges in cyber security, and what can and cannot be automated.]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3130</itunes:duration>
                <itunes:episode>39</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Building Digital Tools for Polar Research</title>
        <itunes:title>Building Digital Tools for Polar Research</itunes:title>
        <link>https://turing.podbean.com/e/building-digital-tools-for-polar-research/</link>
                    <comments>https://turing.podbean.com/e/building-digital-tools-for-polar-research/#comments</comments>        <pubDate>Fri, 15 Dec 2023 14:00:00 +0000</pubDate>
        <guid isPermaLink="false">turing.podbean.com/36a88187-3d16-31b5-9451-81d1b2de3ea4</guid>
                                    <description><![CDATA[<p>This week on The Turing Podcast we chat about some of the research going on in the collaborations between the British Antarctic Survey (BAS) and The Alan Turing Institute, including efforts to automate the route planning of ships in polar regions, and the building of a digital twin for Antarctica!  The hosts are joined by Dr Scott Hosking and Dr Jonathan Smith. Scott is Co-Director for the Alan Turing Institute Research and Innovation Cluster in Digital Twins, as well as the founder and leader of the BAS AI lab. Jonathan is a Principal Research Scientist, also at the BAS AI lab.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week on The Turing Podcast we chat about some of the research going on in the collaborations between the British Antarctic Survey (BAS) and The Alan Turing Institute, including efforts to automate the route planning of ships in polar regions, and the building of a digital twin for Antarctica!  The hosts are joined by Dr Scott Hosking and Dr Jonathan Smith. Scott is Co-Director for the Alan Turing Institute Research and Innovation Cluster in Digital Twins, as well as the founder and leader of the BAS AI lab. Jonathan is a Principal Research Scientist, also at the BAS AI lab.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/uhzv87/Building_Digital_Tools_for_Polar_Research9jtcq.mp3" length="33106561" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week on The Turing Podcast we chat about some of the research going on in the collaborations between the British Antarctic Survey (BAS) and The Alan Turing Institute, including efforts to automate the route planning of ships in polar regions, and the building of a digital twin for Antarctica!  The hosts are joined by Dr Scott Hosking and Dr Jonathan Smith. Scott is Co-Director for the Alan Turing Institute Research and Innovation Cluster in Digital Twins, as well as the founder and leader of the BAS AI lab. Jonathan is a Principal Research Scientist, also at the BAS AI lab.]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2364</itunes:duration>
                <itunes:episode>38</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Data Science for the Arts and Humanities</title>
        <itunes:title>Data Science for the Arts and Humanities</itunes:title>
        <link>https://turing.podbean.com/e/data-science-for-the-arts-and-humanities/</link>
                    <comments>https://turing.podbean.com/e/data-science-for-the-arts-and-humanities/#comments</comments>        <pubDate>Fri, 01 Dec 2023 16:00:00 +0000</pubDate>
        <guid isPermaLink="false">turing.podbean.com/2c3e9ca7-1b04-38b6-962b-2c7001058935</guid>
                                    <description><![CDATA[<p>This week the hosts chat with Dr Katie McDonough and Dr Daniel Wilson. Katie is a lecturer in Digital Humanities in the Department of History at Lancaster University and a Senior Research Fellow at The Alan Turing Institute. Daniel is a Turing Research Fellow and historian of science and technology. The episode covers their research at the Turing and the growing intersection between the worlds of data science and the humanities and arts, with a focus on the MapReader software developed explore and analyse maps (and other images) at scale.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week the hosts chat with Dr Katie McDonough and Dr Daniel Wilson. Katie is a lecturer in Digital Humanities in the Department of History at Lancaster University and a Senior Research Fellow at The Alan Turing Institute. Daniel is a Turing Research Fellow and historian of science and technology. The episode covers their research at the Turing and the growing intersection between the worlds of data science and the humanities and arts, with a focus on the MapReader software developed explore and analyse maps (and other images) at scale.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/epy9d8/Data_Science_for_the_Arts_and_Humanities7hc9j.mp3" length="48583156" type="audio/mpeg"/>
        <itunes:summary><![CDATA[This week the hosts chat with Dr Katie McDonough and Dr Daniel Wilson. Katie is a lecturer in Digital Humanities in the Department of History at Lancaster University and a Senior Research Fellow at The Alan Turing Institute. Daniel is a Turing Research Fellow and historian of science and technology. The episode covers their research at the Turing and the growing intersection between the worlds of data science and the humanities and arts, with a focus on the MapReader software developed explore and analyse maps (and other images) at scale.]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3036</itunes:duration>
                <itunes:episode>37</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Algorithmic Justice</title>
        <itunes:title>Algorithmic Justice</itunes:title>
        <link>https://turing.podbean.com/e/algorithmic-justice/</link>
                    <comments>https://turing.podbean.com/e/algorithmic-justice/#comments</comments>        <pubDate>Fri, 24 Nov 2023 16:45:00 +0000</pubDate>
        <guid isPermaLink="false">turing.podbean.com/f6ad45e3-62c4-3555-a760-1672a6336162</guid>
                                    <description><![CDATA[<p>In the first episode of The Turing Podcast season 4, the hosts are joined by Cari Hyde-Vaamonde, a PhD candidate at Kings College London and visiting lecturer in law. The episode discusses the field of Algorithmic Justice and Cari's work modelling the decision making process of judges.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In the first episode of The Turing Podcast season 4, the hosts are joined by Cari Hyde-Vaamonde, a PhD candidate at Kings College London and visiting lecturer in law. The episode discusses the field of Algorithmic Justice and Cari's work modelling the decision making process of judges.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/wqh22y/Algorithmic_Justice7s4p0.mp3" length="74989038" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In the first episode of The Turing Podcast season 4, the hosts are joined by Cari Hyde-Vaamonde, a PhD candidate at Kings College London and visiting lecturer in law. The episode discusses the field of Algorithmic Justice and Cari's work modelling the decision making process of judges.]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3123</itunes:duration>
                <itunes:episode>36</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>How do we regulate AI?</title>
        <itunes:title>How do we regulate AI?</itunes:title>
        <link>https://turing.podbean.com/e/eu-ai-regulation/</link>
                    <comments>https://turing.podbean.com/e/eu-ai-regulation/#comments</comments>        <pubDate>Fri, 21 Jul 2023 15:00:00 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/9fd3db2d-75b1-3427-941c-e7a984d500ea</guid>
                                    <description><![CDATA[<p>Artificial Intelligence has transformed the way we interact with technology, from voice assistants to autonomous vehicles. As the development and implementation of AI continues to grow at pace, the question of regulation is absolutely key.  </p>
<p>Join Bea and Anneca as they discuss the ramifications of the EU's AI regulations framework with the Turing's Ray Eitel-Porter and Florian Ostmann. </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Artificial Intelligence has transformed the way we interact with technology, from voice assistants to autonomous vehicles. As the development and implementation of AI continues to grow at pace, the question of regulation is absolutely key.  </p>
<p>Join Bea and Anneca as they discuss the ramifications of the EU's AI regulations framework with the Turing's Ray Eitel-Porter and Florian Ostmann. </p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/3kxecc/EU_Regs_TuringPodcast74dln.mp3" length="77758331" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Artificial Intelligence has transformed the way we interact with technology, from voice assistants to autonomous vehicles. As the development and implementation of AI continues to grow at pace, the question of regulation is absolutely key.  
Join Bea and Anneca as they discuss the ramifications of the EU's AI regulations framework with the Turing's Ray Eitel-Porter and Florian Ostmann. ]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3239</itunes:duration>
                <itunes:episode>35</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Diagnosing Dementia with AI</title>
        <itunes:title>Diagnosing Dementia with AI</itunes:title>
        <link>https://turing.podbean.com/e/diagnosing-dementia-with-ai/</link>
                    <comments>https://turing.podbean.com/e/diagnosing-dementia-with-ai/#comments</comments>        <pubDate>Mon, 05 Jun 2023 17:00:00 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/590999ec-3d48-355d-bf72-4fc909099e11</guid>
                                    <description><![CDATA[<p>Join Bea and Anneca as they discuss the potential and current AI tools being used around treating and diagnosing illnesses such as dementia, with Zoe Kourtzi.</p>
<p> Zoe is Professor of Computational Cognitive Neuroscience at the University of Cambridge. Her research aims to develop predictive models of neurodegenerative disease and mental health with translational impact in early diagnosis and personalised interventions.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Join Bea and Anneca as they discuss the potential and current AI tools being used around treating and diagnosing illnesses such as dementia, with Zoe Kourtzi.</p>
<p> Zoe is Professor of Computational Cognitive Neuroscience at the University of Cambridge. Her research aims to develop predictive models of neurodegenerative disease and mental health with translational impact in early diagnosis and personalised interventions.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/ihu22s/Zoe_Kourtzi_Podcast_7zsfg.mp3" length="26384090" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Join Bea and Anneca as they discuss the potential and current AI tools being used around treating and diagnosing illnesses such as dementia, with Zoe Kourtzi.
 Zoe is Professor of Computational Cognitive Neuroscience at the University of Cambridge. Her research aims to develop predictive models of neurodegenerative disease and mental health with translational impact in early diagnosis and personalised interventions.]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1648</itunes:duration>
                <itunes:episode>34</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Making the world add up with Tim Harford</title>
        <itunes:title>Making the world add up with Tim Harford</itunes:title>
        <link>https://turing.podbean.com/e/making-the-world-add-up-with-tim-harford/</link>
                    <comments>https://turing.podbean.com/e/making-the-world-add-up-with-tim-harford/#comments</comments>        <pubDate>Tue, 09 May 2023 14:30:00 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/2d25174d-5e1d-30a2-8d72-01e72c4a168b</guid>
                                    <description><![CDATA[<p>In this week’s Turing Podcast, Ed chats with Tim Harford about the themes from his 2020 book “<a href='https://timharford.com/books/worldaddup/'>How to Make the World Add Up</a>”, which include thinking about the ways statistics and numbers are (mis)used in the media and what we can do about it. Tim is an economist and presenter of the BBC radio show “More or less”.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this week’s Turing Podcast, Ed chats with Tim Harford about the themes from his 2020 book “<a href='https://timharford.com/books/worldaddup/'>How to Make the World Add Up</a>”, which include thinking about the ways statistics and numbers are (mis)used in the media and what we can do about it. Tim is an economist and presenter of the BBC radio show “More or less”.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/r8bzx9/Tim_Harford_podcast_8ynks.mp3" length="60227081" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In this week’s Turing Podcast, Ed chats with Tim Harford about the themes from his 2020 book “How to Make the World Add Up”, which include thinking about the ways statistics and numbers are (mis)used in the media and what we can do about it. Tim is an economist and presenter of the BBC radio show “More or less”.]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3764</itunes:duration>
                <itunes:episode>33</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>The Coffee Pod - Hussein Rappel</title>
        <itunes:title>The Coffee Pod - Hussein Rappel</itunes:title>
        <link>https://turing.podbean.com/e/the-coffee-pod-hussein-rappel/</link>
                    <comments>https://turing.podbean.com/e/the-coffee-pod-hussein-rappel/#comments</comments>        <pubDate>Fri, 21 Apr 2023 16:30:00 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/db517694-b0fc-3376-b231-4afe35c1429f</guid>
                                    <description><![CDATA[<p>Welcome to the Coffee Pod! A short series about the Turing's AI for Science and Government fund, that gives you the chance to hear about the people behind the project. Each episode you’ll be listening to a different colleague, their background, career and most importantly… how they like their coffee.</p>
<p> </p>
<p>In this episode, Bea is speaking to Hussein Rappel. Hussein has worked on the PDRA on Digital Twins in Infrastructure and Construction project in the Complex Systems Engineering theme.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Welcome to the Coffee Pod! A short series about the Turing's AI for Science and Government fund, that gives you the chance to hear about the people behind the project. Each episode you’ll be listening to a different colleague, their background, career and most importantly… how they like their coffee.</p>
<p> </p>
<p>In this episode, Bea is speaking to Hussein Rappel. Hussein has worked on the PDRA on Digital Twins in Infrastructure and Construction project in the Complex Systems Engineering theme.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/td6m24/Hussein_podcastadnch.mp3" length="14608090" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Welcome to the Coffee Pod! A short series about the Turing's AI for Science and Government fund, that gives you the chance to hear about the people behind the project. Each episode you’ll be listening to a different colleague, their background, career and most importantly… how they like their coffee.
 
In this episode, Bea is speaking to Hussein Rappel. Hussein has worked on the PDRA on Digital Twins in Infrastructure and Construction project in the Complex Systems Engineering theme.]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>912</itunes:duration>
                <itunes:episode>32</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>The Coffee Pod - Malvika Sharan</title>
        <itunes:title>The Coffee Pod - Malvika Sharan</itunes:title>
        <link>https://turing.podbean.com/e/the-coffee-pod-malvika-sharan/</link>
                    <comments>https://turing.podbean.com/e/the-coffee-pod-malvika-sharan/#comments</comments>        <pubDate>Fri, 21 Apr 2023 16:30:00 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/18ef5578-82da-3316-8a8c-fedb16bef5f4</guid>
                                    <description><![CDATA[<p>Welcome to another Coffee Pod episode! A short series about the Turing's AI for Science and Government fund, that gives you the chance to hear about the people behind the project. Each episode you’ll be listening to a different colleague, their background, career and most importantly… how they like their coffee.</p>
<p> </p>
<p>Today Bea is speaking to Malvika Sharan, a senior researcher. Malvika works on Open Research in the Tools, Practices and Systems theme.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Welcome to another Coffee Pod episode! A short series about the Turing's AI for Science and Government fund, that gives you the chance to hear about the people behind the project. Each episode you’ll be listening to a different colleague, their background, career and most importantly… how they like their coffee.</p>
<p> </p>
<p>Today Bea is speaking to Malvika Sharan, a senior researcher. Malvika works on Open Research in the Tools, Practices and Systems theme.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/nzcbrx/malvika_podcast8mic3.mp3" length="14634839" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Welcome to another Coffee Pod episode! A short series about the Turing's AI for Science and Government fund, that gives you the chance to hear about the people behind the project. Each episode you’ll be listening to a different colleague, their background, career and most importantly… how they like their coffee.
 
Today Bea is speaking to Malvika Sharan, a senior researcher. Malvika works on Open Research in the Tools, Practices and Systems theme.]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>914</itunes:duration>
                <itunes:episode>31</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>The Coffee Pod - Fernando Benitez</title>
        <itunes:title>The Coffee Pod - Fernando Benitez</itunes:title>
        <link>https://turing.podbean.com/e/the-coffee-pod-fernando-benitez/</link>
                    <comments>https://turing.podbean.com/e/the-coffee-pod-fernando-benitez/#comments</comments>        <pubDate>Fri, 21 Apr 2023 16:30:00 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/1d8bf2a2-7ee1-339d-9eca-7234f22277a6</guid>
                                    <description><![CDATA[<p>Welcome to another Coffee Pod episode! A short series about the Turing's AI for Science and Government fund, that gives you the chance to hear about the people behind the project. Each episode you’ll be listening to a different colleague, their background, career and most importantly… how they like their coffee.</p>
<p> </p>
<p>In this episode, Bea is joined with Fernando Benitez, a research associate.</p>
<p>Fernando worked on PDRA - the Spatial Modelling project in the Shocks and the Resilience cross-theme project. </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Welcome to another Coffee Pod episode! A short series about the Turing's AI for Science and Government fund, that gives you the chance to hear about the people behind the project. Each episode you’ll be listening to a different colleague, their background, career and most importantly… how they like their coffee.</p>
<p> </p>
<p>In this episode, Bea is joined with Fernando Benitez, a research associate.</p>
<p>Fernando worked on PDRA - the Spatial Modelling project in the Shocks and the Resilience cross-theme project. </p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/eur47u/fernando_podcast9fit6.mp3" length="16600501" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Welcome to another Coffee Pod episode! A short series about the Turing's AI for Science and Government fund, that gives you the chance to hear about the people behind the project. Each episode you’ll be listening to a different colleague, their background, career and most importantly… how they like their coffee.
 
In this episode, Bea is joined with Fernando Benitez, a research associate.
Fernando worked on PDRA - the Spatial Modelling project in the Shocks and the Resilience cross-theme project. ]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1037</itunes:duration>
                <itunes:episode>30</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>The Coffee Pod - Tom Andersson</title>
        <itunes:title>The Coffee Pod - Tom Andersson</itunes:title>
        <link>https://turing.podbean.com/e/the-coffee-pod-tom-andersson/</link>
                    <comments>https://turing.podbean.com/e/the-coffee-pod-tom-andersson/#comments</comments>        <pubDate>Fri, 21 Apr 2023 16:30:00 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/4447fe7b-945a-3da3-a70b-51352dd1ec3e</guid>
                                    <description><![CDATA[<p>Welcome to another episode of the Coffee Pod Podcast! A short series about the Turing's AI for Science and Government fund, that gives you the chance to hear about the people behind the project. Each episode you’ll be listening to a different colleague, their background, career and most importantly… how they like their coffee. </p>
<p>In this episode, Bea catches up with Tom Andersson, a data scientist.</p>
<p>Tom's worked on the Turing/British Antarctic Survey on Environmental models: Bridging the spatial scales, from surface sensors to satellite sensors in the Environment and Sustainability cross-theme project.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Welcome to another episode of the Coffee Pod Podcast! A short series about the Turing's AI for Science and Government fund, that gives you the chance to hear about the people behind the project. Each episode you’ll be listening to a different colleague, their background, career and most importantly… how they like their coffee. </p>
<p>In this episode, Bea catches up with Tom Andersson, a data scientist.</p>
<p>Tom's worked on the Turing/British Antarctic Survey on Environmental models: Bridging the spatial scales, from surface sensors to satellite sensors in the Environment and Sustainability cross-theme project.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/pdxsi7/Tom_Andersson_podcastaoaw7.mp3" length="16672808" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Welcome to another episode of the Coffee Pod Podcast! A short series about the Turing's AI for Science and Government fund, that gives you the chance to hear about the people behind the project. Each episode you’ll be listening to a different colleague, their background, career and most importantly… how they like their coffee. 
In this episode, Bea catches up with Tom Andersson, a data scientist.
Tom's worked on the Turing/British Antarctic Survey on Environmental models: Bridging the spatial scales, from surface sensors to satellite sensors in the Environment and Sustainability cross-theme project.]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1042</itunes:duration>
                <itunes:episode>29</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>The Coffee Pod - Domenic DiFrancesco</title>
        <itunes:title>The Coffee Pod - Domenic DiFrancesco</itunes:title>
        <link>https://turing.podbean.com/e/the-coffee-pod-domenic-difrancesco/</link>
                    <comments>https://turing.podbean.com/e/the-coffee-pod-domenic-difrancesco/#comments</comments>        <pubDate>Fri, 21 Apr 2023 16:30:00 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/ffeb2c12-9c1c-3240-b279-e77d302c07ee</guid>
                                    <description><![CDATA[<p>Welcome to another episode of the Coffee Pod podcast! A short series about the Turing's AI for Science and Government fund, that gives you the chance to hear about the people behind the project. Each episode you’ll be listening to a different colleague, their background, career and most importantly… how they like their coffee. </p>
<p>Joining Bea this week is Domenic DiFrancesco, a Turing Research Fellow.</p>
<p>Domenic's worked on the project PDRA Digital Twins for Fleets and Supply Chain Management in the Ecosystems of Digital Twins cross-theme.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Welcome to another episode of the Coffee Pod podcast! A short series about the Turing's AI for Science and Government fund, that gives you the chance to hear about the people behind the project. Each episode you’ll be listening to a different colleague, their background, career and most importantly… how they like their coffee. </p>
<p>Joining Bea this week is Domenic DiFrancesco, a Turing Research Fellow.</p>
<p>Domenic's worked on the project PDRA Digital Twins for Fleets and Supply Chain Management in the Ecosystems of Digital Twins cross-theme.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/xuz3i8/Domenic_podcast_26mv7s.mp3" length="12359470" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Welcome to another episode of the Coffee Pod podcast! A short series about the Turing's AI for Science and Government fund, that gives you the chance to hear about the people behind the project. Each episode you’ll be listening to a different colleague, their background, career and most importantly… how they like their coffee. 
Joining Bea this week is Domenic DiFrancesco, a Turing Research Fellow.
Domenic's worked on the project PDRA Digital Twins for Fleets and Supply Chain Management in the Ecosystems of Digital Twins cross-theme.]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>772</itunes:duration>
                <itunes:episode>28</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>How to Speak Whale</title>
        <itunes:title>How to Speak Whale</itunes:title>
        <link>https://turing.podbean.com/e/how-to-speak-whale/</link>
                    <comments>https://turing.podbean.com/e/how-to-speak-whale/#comments</comments>        <pubDate>Fri, 14 Apr 2023 16:10:22 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/16d16f1d-2058-3a2b-a286-aefff7f6c964</guid>
                                    <description><![CDATA[<p>Following Tom Mustill’s popular <a href='https://youtu.be/b4lZZlN_WdM'>Turing Lecture at the Royal Institution, How to Speak Whale,</a> Tom joins Bea and Jo to catch up on the latest advancements in communication between humans and animals.</p>
<p>This lively edition of the Turing podcast covers a great variety of subjects, including some of Tom’s favourite (and surprising) whale facts, and whether attempting to chat with aliens should be prioritised over speaking with animals.</p>
<p>A biologist and filmmaker, Tom has recently also turned writer. His debut book, How To Speak Whale: A Voyage into the Future of Animal Communication, was selected as one of Amazon's Best Books of The Year. </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Following Tom Mustill’s popular <a href='https://youtu.be/b4lZZlN_WdM'>Turing Lecture at the Royal Institution, How to Speak Whale,</a> Tom joins Bea and Jo to catch up on the latest advancements in communication between humans and animals.</p>
<p>This lively edition of the Turing podcast covers a great variety of subjects, including some of Tom’s favourite (and surprising) whale facts, and whether attempting to chat with aliens should be prioritised over speaking with animals.</p>
<p>A biologist and filmmaker, Tom has recently also turned writer. His debut book, <em>How To Speak Whale: A Voyage into the Future of Animal Communication</em>, was selected as one of Amazon's <em>Best Books of The Year.</em> </p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/jhn5t3/Tom_Mustill_Podcast_-_How_to_speak_whale7c0fs.mp3" length="49387310" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Following Tom Mustill’s popular Turing Lecture at the Royal Institution, How to Speak Whale, Tom joins Bea and Jo to catch up on the latest advancements in communication between humans and animals.
This lively edition of the Turing podcast covers a great variety of subjects, including some of Tom’s favourite (and surprising) whale facts, and whether attempting to chat with aliens should be prioritised over speaking with animals.
A biologist and filmmaker, Tom has recently also turned writer. His debut book, How To Speak Whale: A Voyage into the Future of Animal Communication, was selected as one of Amazon's Best Books of The Year. ]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3086</itunes:duration>
                <itunes:episode>27</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>The Coffee Pod - Ruoyun Hui</title>
        <itunes:title>The Coffee Pod - Ruoyun Hui</itunes:title>
        <link>https://turing.podbean.com/e/the-coffee-pod-ruoyun-hui/</link>
                    <comments>https://turing.podbean.com/e/the-coffee-pod-ruoyun-hui/#comments</comments>        <pubDate>Thu, 06 Apr 2023 16:40:37 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/54738ccf-05f8-3b2c-98eb-36c590c488c8</guid>
                                    <description><![CDATA[<p>Welcome to the first Coffee Pod episode! </p>
<p>A short series about the Turing's AI for Science and Government fund, that gives you the chance to hear about the people behind the project. Each episode you’ll be listening to a different colleague, their background, career and most importantly… how they like their coffee. </p>
<p>Joining podcast host Bea this week is Ruoyun Hui, a postdoctoral research associate at The Alan Turing Institute. </p>
<p>This series is hosted by Bea Costa Gomes and produced by Luca Lane. The music has been produced by Spiders Eat Vinyl.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Welcome to the first Coffee Pod episode! </p>
<p>A short series about the Turing's AI for Science and Government fund, that gives you the chance to hear about the people behind the project. Each episode you’ll be listening to a different colleague, their background, career and most importantly… how they like their coffee. </p>
<p>Joining podcast host Bea this week is Ruoyun Hui, a postdoctoral research associate at The Alan Turing Institute. </p>
<p>This series is hosted by Bea Costa Gomes and produced by Luca Lane. The music has been produced by Spiders Eat Vinyl.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/6sg3i8/Ruoyun_full_mastered_edit_5plus_intro_to_seriesajm5w.mp3" length="14659081" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Welcome to the first Coffee Pod episode! 
A short series about the Turing's AI for Science and Government fund, that gives you the chance to hear about the people behind the project. Each episode you’ll be listening to a different colleague, their background, career and most importantly… how they like their coffee. 
Joining podcast host Bea this week is Ruoyun Hui, a postdoctoral research associate at The Alan Turing Institute. 
This series is hosted by Bea Costa Gomes and produced by Luca Lane. The music has been produced by Spiders Eat Vinyl.]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>916</itunes:duration>
                <itunes:episode>26</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>AI in the financial sector</title>
        <itunes:title>AI in the financial sector</itunes:title>
        <link>https://turing.podbean.com/e/ai-in-the-financial-sector/</link>
                    <comments>https://turing.podbean.com/e/ai-in-the-financial-sector/#comments</comments>        <pubDate>Fri, 10 Mar 2023 13:40:02 +0000</pubDate>
        <guid isPermaLink="false">turing.podbean.com/3500ba4c-1060-38e6-ac83-697e2964213f</guid>
                                    <description><![CDATA[<p>With Dr Adrian Weller (Programme Director and Turing Fellow) and Kate Platonova (Group Chief Data Analytics Officer at HSBC), Ed Chalstrey discusses how AI is being used in financial services and what data is useful in banking today.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>With Dr Adrian Weller (Programme Director and Turing Fellow) and Kate Platonova (Group Chief Data Analytics Officer at HSBC), Ed Chalstrey discusses how AI is being used in financial services and what data is useful in banking today.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/7izfwv/_revised_edit_HSBC_Podcast_Mastered_mp398o2y.mp3" length="63508897" type="audio/mpeg"/>
        <itunes:summary><![CDATA[With Dr Adrian Weller (Programme Director and Turing Fellow) and Kate Platonova (Group Chief Data Analytics Officer at HSBC), Ed Chalstrey discusses how AI is being used in financial services and what data is useful in banking today.]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3969</itunes:duration>
                <itunes:episode>25</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>The Stats Gap</title>
        <itunes:title>The Stats Gap</itunes:title>
        <link>https://turing.podbean.com/e/the-stats-gap/</link>
                    <comments>https://turing.podbean.com/e/the-stats-gap/#comments</comments>        <pubDate>Fri, 24 Feb 2023 17:55:25 +0000</pubDate>
        <guid isPermaLink="false">turing.podbean.com/b47d0239-1ec4-38fd-a7aa-cd470810e6e3</guid>
                                    <description><![CDATA[<p>Join Ed and David as they speak to Ellen Pasternack, a PHD student in evolutionary biology at the University of Oxford. 

Ellen is a science writer for UnHerd and Works in Progress. In this episode, we’re going to chat about one of her most recent articles, "The Stats Gap", which explores the issues with statistical education for university scientists.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Join Ed and David as they speak to Ellen Pasternack, a PHD student in evolutionary biology at the University of Oxford. <br>
<br>
Ellen is a science writer for UnHerd and Works in Progress. In this episode, we’re going to chat about one of her most recent articles, "The Stats Gap", which explores the issues with statistical education for university scientists.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/2w8e84/mp3_stats_gap_mastered_podcast_full_edit_2amqna.mp3" length="33225246" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Join Ed and David as they speak to Ellen Pasternack, a PHD student in evolutionary biology at the University of Oxford. Ellen is a science writer for UnHerd and Works in Progress. In this episode, we’re going to chat about one of her most recent articles, "The Stats Gap", which explores the issues with statistical education for university scientists.]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2076</itunes:duration>
                <itunes:episode>24</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>How much can we limit the rising of the seas?</title>
        <itunes:title>How much can we limit the rising of the seas?</itunes:title>
        <link>https://turing.podbean.com/e/how-much-can-we-limit-the-rising-of-the-seas/</link>
                    <comments>https://turing.podbean.com/e/how-much-can-we-limit-the-rising-of-the-seas/#comments</comments>        <pubDate>Mon, 30 Jan 2023 16:21:51 +0000</pubDate>
        <guid isPermaLink="false">turing.podbean.com/814d4eb7-1275-3b36-bcca-6b5ec529a533</guid>
                                    <description><![CDATA[<p>Join Aoife and Sally as they chat to Dr Tamsin Edwards about how she uses AI to predict rising sea levels, following her Turing Lecture at the Royal Institution.

Tamsin is a climate scientist, specialising in the uncertainties of climate model predictions, particularly for ice sheets and glaciers. 
Within her research, she also uses information about past climates to improve predictions for the future.</p>
<p> In this podcast, we will be catching up with her as she answers some of the questions that the audience submitted at the Turing Lecture which did not get asked.</p>
<p>Watch Tamsin's full Turing lecture here: <a href='https://youtu.be/CbEKI_LfNWA'>https://youtu.be/CbEKI_LfNWA</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Join Aoife and Sally as they chat to Dr Tamsin Edwards about how she uses AI to predict rising sea levels, following her Turing Lecture at the Royal Institution.<br>
<br>
Tamsin is a climate scientist, specialising in the uncertainties of climate model predictions, particularly for ice sheets and glaciers. <br>
Within her research, she also uses information about past climates to improve predictions for the future.</p>
<p> In this podcast, we will be catching up with her as she answers some of the questions that the audience submitted at the Turing Lecture which did not get asked.</p>
<p>Watch Tamsin's full Turing lecture here: <a href='https://youtu.be/CbEKI_LfNWA'>https://youtu.be/CbEKI_LfNWA</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/fv79n9/Tamsin_full_edit_mastered_MP3a7bny.mp3" length="46705266" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Join Aoife and Sally as they chat to Dr Tamsin Edwards about how she uses AI to predict rising sea levels, following her Turing Lecture at the Royal Institution.Tamsin is a climate scientist, specialising in the uncertainties of climate model predictions, particularly for ice sheets and glaciers. Within her research, she also uses information about past climates to improve predictions for the future.
 In this podcast, we will be catching up with her as she answers some of the questions that the audience submitted at the Turing Lecture which did not get asked.
Watch Tamsin's full Turing lecture here: https://youtu.be/CbEKI_LfNWA]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2919</itunes:duration>
                <itunes:episode>23</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Where next for self-driving vehicles?</title>
        <itunes:title>Where next for self-driving vehicles?</itunes:title>
        <link>https://turing.podbean.com/e/driverless-vehicles/</link>
                    <comments>https://turing.podbean.com/e/driverless-vehicles/#comments</comments>        <pubDate>Tue, 17 Jan 2023 17:50:11 +0000</pubDate>
        <guid isPermaLink="false">turing.podbean.com/2dad984f-870c-31ee-8a2f-3ef2c8cb7dd7</guid>
                                    <description><![CDATA[<p>Join Aoife and Torty as they chat with Professor Sarah Sharples about the current state of technology and AI around driverless vehicles.

Sarah (chief scientific advisor for the department for transport) recently did a Turing lecture at the Royal Institution, discussing the topic.
In this podcast, she’ll be answering a range of different questions from the evening.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Join Aoife and Torty as they chat with Professor Sarah Sharples about the current state of technology and AI around driverless vehicles.<br>
<br>
Sarah (<em>chief scientific advisor for the department for transport)</em> recently did a Turing lecture at the Royal Institution, discussing the topic.<br>
In this podcast, she’ll be answering a range of different questions from the evening.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/pq6vt6/Sarah_Sharples_Podcast_fully_edited_mastered_MP3afia4.mp3" length="33280417" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Join Aoife and Torty as they chat with Professor Sarah Sharples about the current state of technology and AI around driverless vehicles.Sarah (chief scientific advisor for the department for transport) recently did a Turing lecture at the Royal Institution, discussing the topic.In this podcast, she’ll be answering a range of different questions from the evening.]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2080</itunes:duration>
                <itunes:episode>22</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Footballers on Twitter: What is fair game?</title>
        <itunes:title>Footballers on Twitter: What is fair game?</itunes:title>
        <link>https://turing.podbean.com/e/footballers-on-twitter-what-is-fair-game/</link>
                    <comments>https://turing.podbean.com/e/footballers-on-twitter-what-is-fair-game/#comments</comments>        <pubDate>Mon, 12 Dec 2022 10:20:59 +0000</pubDate>
        <guid isPermaLink="false">turing.podbean.com/7698bb5f-6cde-3e22-9d4b-f32c4df1acc4</guid>
                                    <description><![CDATA[<p>This week we are joined by Manchester United women's footballer Aoife Mannion, Author and CEO of Glitch Seyi Akiwowo and Turing Researcher Pica Johansson to discuss online abuse suffered by football players and other athletes online. The Turing recently partnered with OfCom, who comissioned a report in relation to its upcoming role as the UK’s Online Safety regulator tracking abuse on Twitter against football players in the 2021-22 Premier League Season. You can read more on this report here: <a href='https://www.turing.ac.uk/research/publications/tracking-abuse-twitter-against-football-players-2021-22-premier-league-season'>Tracking abuse on Twitter against football players in the 2021-22 Premier League Season | The Alan Turing Institute</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week we are joined by Manchester United women's footballer Aoife Mannion, Author and CEO of Glitch Seyi Akiwowo and Turing Researcher Pica Johansson to discuss online abuse suffered by football players and other athletes online. The Turing recently partnered with OfCom, who comissioned a report in relation to its upcoming role as the UK’s Online Safety regulator tracking abuse on Twitter against football players in the 2021-22 Premier League Season. You can read more on this report here: <a href='https://www.turing.ac.uk/research/publications/tracking-abuse-twitter-against-football-players-2021-22-premier-league-season'>Tracking abuse on Twitter against football players in the 2021-22 Premier League Season | The Alan Turing Institute</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/ait925/Footballers_on_Twitter_what_is_fair_game8hat0.mp3" length="54205543" type="audio/mpeg"/>
        <itunes:summary>This week we are joined by Manchester United women’s footballer Aoife Mannion, Author and CEO of Glitch Seyi Akiwowo and Turing Researcher Pica Johansson to discuss online abuse suffered by football players and other athletes online. The Turing recently partnered with OfCom, who comissioned a report in relation to its upcoming role as the UK’s Online Safety regulator tracking abuse on Twitter against football players in the 2021-22 Premier League Season. You can read more on this report here: Tracking abuse on Twitter against football players in the 2021-22 Premier League Season | The Alan Turing Institute</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3387</itunes:duration>
        <itunes:season>3</itunes:season>
        <itunes:episode>5</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Turing deployment at sea: identifying plankton in real time</title>
        <itunes:title>Turing deployment at sea: identifying plankton in real time</itunes:title>
        <link>https://turing.podbean.com/e/robert-blackwell-cefas/</link>
                    <comments>https://turing.podbean.com/e/robert-blackwell-cefas/#comments</comments>        <pubDate>Wed, 16 Nov 2022 10:34:13 +0000</pubDate>
        <guid isPermaLink="false">turing.podbean.com/ee6c320b-13e8-32c6-a9eb-e32ee255a3dc</guid>
                                    <description><![CDATA[In this episode, hosts Bea and Anneca are joined by Robert Blackwell, from CEFAS (Centre for Environment, Fisheries and Aquaculture Science), who tells us, among many other things, how an algorithm to detect different species of plankton developed in two weeks during a Turing DSG ended up being deployed six months later on a ship.]]></description>
                                                            <content:encoded><![CDATA[In this episode, hosts Bea and Anneca are joined by Robert Blackwell, from CEFAS (Centre for Environment, Fisheries and Aquaculture Science), who tells us, among many other things, how an algorithm to detect different species of plankton developed in two weeks during a Turing DSG ended up being deployed six months later on a ship.]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/nteqj5/TTP_Robert_Blackwell9nfe9.mp3" length="45682937" type="audio/mpeg"/>
        <itunes:summary>In this episode, hosts Bea and Anneca are joined by Robert Blackwell, from CEFAS (Centre for Environment, Fisheries and Aquaculture Science), who tells us, among many other things, how an algorithm to detect different species of plankton developed in two weeks during a Turing DSG ended up being deployed six months later on a ship.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2855</itunes:duration>
        <itunes:season>3</itunes:season>
        <itunes:episode>4</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Machine Learning for Armed Conflict Mediation</title>
        <itunes:title>Machine Learning for Armed Conflict Mediation</itunes:title>
        <link>https://turing.podbean.com/e/dssgpod/</link>
                    <comments>https://turing.podbean.com/e/dssgpod/#comments</comments>        <pubDate>Tue, 27 Sep 2022 15:21:51 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/4b38bf20-0d23-323d-8fd3-a25fa2655e82</guid>
                                    <description><![CDATA[<p>This week we welcome Dr Miguel Arana-Catania and Professor Rob Procter from the University of Warwick, along with Dr Felix-Anselm van Lier from Oxford University. The episode discusses their recent work in using machine learning to analyze large-scale peace dialogue transcripts from the war in Yemen, with the aim to assist conflict mediators.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week we welcome Dr Miguel Arana-Catania and Professor Rob Procter from the University of Warwick, along with Dr Felix-Anselm van Lier from Oxford University. The episode discusses their recent work in using machine learning to analyze large-scale peace dialogue transcripts from the war in Yemen, with the aim to assist conflict mediators.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/zvuhv2/TTP_S3_E02_DSSG72wep.mp3" length="61067597" type="audio/mpeg"/>
        <itunes:summary>This week we welcome Dr Miguel Arana-Catania and Professor Rob Procter from the University of Warwick, along with Dr Felix-Anselm van Lier from Oxford University. The episode discusses their recent work in using machine learning to analyse large-scale peace dialogue transcripts from the war in Yemen, with the aim to assist conflict mediators.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3816</itunes:duration>
        <itunes:season>3</itunes:season>
        <itunes:episode>3</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Living with Machines</title>
        <itunes:title>Living with Machines</itunes:title>
        <link>https://turing.podbean.com/e/ttp-lwm/</link>
                    <comments>https://turing.podbean.com/e/ttp-lwm/#comments</comments>        <pubDate>Fri, 05 Aug 2022 11:16:47 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/86960516-77d0-3446-a73c-4bcdeecc37c6</guid>
                                    <description><![CDATA[<p>This week the hosts are joined by David Beavan, a Senior Research Software Engineer and Dr Kasra Hosseini a Research Data Scientist, both of whom work in the Alan Turing Institute’s Research Engineering Group. The episode focusses on one of The Alan Turing Institute’s major research projects in the Digital Humanities known as “Living with machines”, which takes a fresh look at the history of the industrial revolution with data driven approaches. Find out more at <a href='https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Flivingwithmachines.ac.uk%2F&data=05%7C01%7Cdwhitfield%40turing.ac.uk%7C209113fafb0947afc82808da6b2eadea%7C4395f4a7e4554f958a9f1fbaef6384f9%7C0%7C0%7C637940145466736245%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=OOfPCtCZgcmYUdT3ikpE6J8ATQeCbWUJBZ3q%2BGx%2Bp%2FQ%3D&reserved=0'>https://livingwithmachines.ac.uk/</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week the hosts are joined by David Beavan, a Senior Research Software Engineer and Dr Kasra Hosseini a Research Data Scientist, both of whom work in the Alan Turing Institute’s Research Engineering Group. The episode focusses on one of The Alan Turing Institute’s major research projects in the Digital Humanities known as “Living with machines”, which takes a fresh look at the history of the industrial revolution with data driven approaches. Find out more at <a href='https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Flivingwithmachines.ac.uk%2F&data=05%7C01%7Cdwhitfield%40turing.ac.uk%7C209113fafb0947afc82808da6b2eadea%7C4395f4a7e4554f958a9f1fbaef6384f9%7C0%7C0%7C637940145466736245%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=OOfPCtCZgcmYUdT3ikpE6J8ATQeCbWUJBZ3q%2BGx%2Bp%2FQ%3D&reserved=0'>https://livingwithmachines.ac.uk/</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/qxh9kh/TTP_S3_E03_LWMaeb60.mp3" length="49657729" type="audio/mpeg"/>
        <itunes:summary>This week the hosts are joined by David Beavan, a Senior Research Software Engineer and Dr Kasra Hosseini a Research Data Scientist, both of whom work in the Alan Turing Institute’s Research Engineering Group. The episode focusses on one of The Alan Turing Institute’s major research projects in the Digital Humanities known as “Living with machines”, which takes a fresh look at the history of the industrial revolution with data driven approaches. Find out more at https://livingwithmachines.ac.uk/</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3103</itunes:duration>
        <itunes:season>3</itunes:season>
        <itunes:episode>3</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Data Science for Social Good: Predicting air pollution in a post-COVID world?</title>
        <itunes:title>Data Science for Social Good: Predicting air pollution in a post-COVID world?</itunes:title>
        <link>https://turing.podbean.com/e/solve-for-good-is-the-air-harming-children-s-health/</link>
                    <comments>https://turing.podbean.com/e/solve-for-good-is-the-air-harming-children-s-health/#comments</comments>        <pubDate>Fri, 10 Jun 2022 17:01:39 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/4dd50c43-0893-3ea1-b95b-04d2761657c8</guid>
                                    <description><![CDATA[<p>In this episode Christina catches up with two of her former collaborators, Prithviraj Pramanik and Dr. Subhabrata Majumdar. The three of them worked as volunteers at Solve for Good (a platform to connect social good organizations with volunteer data scientists to solve socially beneficial challenges). The team discusses their work with UNICEF to build a post-pandemic global air pollution model to help map child exposure to harmful air pollutants.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode Christina catches up with two of her former collaborators, Prithviraj Pramanik and Dr. Subhabrata Majumdar. The three of them worked as volunteers at Solve for Good (a platform to connect social good organizations with volunteer data scientists to solve socially beneficial challenges). The team discusses their work with UNICEF to build a post-pandemic global air pollution model to help map child exposure to harmful air pollutants.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/pbw4ne/TTP_S03_E01_Unicefa3wh9.mp3" length="53611623" type="audio/mpeg"/>
        <itunes:summary>In this episode Christina catches up with two of her former collaborators, Prithviraj Pramanik and Dr. Subhabrata Majumdar. The three of them worked as volunteers at Solve for Good (a platform to connect social good organizations with volunteer data scientists to solve socially beneficial challenges). The team discusses their work with UNICEF to build a post-pandemic global air pollution model to help map child exposure to harmful air pollutants.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3350</itunes:duration>
        <itunes:season>3</itunes:season>
        <itunes:episode>1</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>The right to privacy</title>
        <itunes:title>The right to privacy</itunes:title>
        <link>https://turing.podbean.com/e/ttptrtp/</link>
                    <comments>https://turing.podbean.com/e/ttptrtp/#comments</comments>        <pubDate>Fri, 18 Feb 2022 16:15:59 +0000</pubDate>
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                                    <description><![CDATA[<p>This week Ed and Rachel speak with Geoff Goodell, Senior Research Associate in the Financial Computing and Analytics group at University College London, and associate of UCL’s Centre for Blockchain Technologies and the LSE systemic risk centre. Geoff is an advocate for privacy as a human right in the digital world, in particular with regard to digital identity systems. Recorded in mid-2021, this episode takes a deep dive into some of the important topics surrounding people’s identities in the online world, including both the technical and ethical considerations.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week Ed and Rachel speak with Geoff Goodell, Senior Research Associate in the Financial Computing and Analytics group at University College London, and associate of UCL’s Centre for Blockchain Technologies and the LSE systemic risk centre. Geoff is an advocate for privacy as a human right in the digital world, in particular with regard to digital identity systems. Recorded in mid-2021, this episode takes a deep dive into some of the important topics surrounding people’s identities in the online world, including both the technical and ethical considerations.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/jhw6ts/TTP_GGamwnf.mp3" length="79253419" type="audio/mpeg"/>
        <itunes:summary>This week Ed and Rachel speak with Geoff Goodell, Senior Research Associate in the Financial Computing and Analytics group at University College London, and associate of UCL’s Centre for Blockchain Technologies and the LSE systemic risk centre. Geoff is an advocate for privacy as a human right in the digital world, in particular with regard to digital identity systems. Recorded in mid-2021, this episode takes a deep dive into some of the important topics surrounding people’s identities in the online world, including both the technical and ethical considerations.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>4953</itunes:duration>
                <itunes:episode>21</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>The Turing Podcast asks: Where is Bitcoin headed?</title>
        <itunes:title>The Turing Podcast asks: Where is Bitcoin headed?</itunes:title>
        <link>https://turing.podbean.com/e/ttpbtcn/</link>
                    <comments>https://turing.podbean.com/e/ttpbtcn/#comments</comments>        <pubDate>Tue, 01 Feb 2022 12:11:48 +0000</pubDate>
        <guid isPermaLink="false">turing.podbean.com/e76e81d7-9d1d-3909-bf6a-95c45d80f9e2</guid>
                                    <description><![CDATA[<p>Ed & Rachel are joined by Dr Tim Hobson, Senior Research Software Engineer and resident Bitcoin enthusiast at The Alan Turing Institute! Tim offers his take on the phenomenon that is Bitcoin, the future of its adoption and how the underlying technology relates to his research interests.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Ed & Rachel are joined by Dr Tim Hobson, Senior Research Software Engineer and resident Bitcoin enthusiast at The Alan Turing Institute! Tim offers his take on the phenomenon that is Bitcoin, the future of its adoption and how the underlying technology relates to his research interests.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/kiiqiz/TTP_TIM_HOBSONb2pbz.mp3" length="87790653" type="audio/mpeg"/>
        <itunes:summary>Ed &amp; Rachel are joined by Dr Tim Hobson, Senior Research Software Engineer and resident Bitcoin enthusiast at The Alan Turing Institute! Tim offers his take on the phenomenon that is Bitcoin, the future of its adoption and how the underlying technology relates to his research interests.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>5486</itunes:duration>
        <itunes:season>2</itunes:season>
        <itunes:episode>20</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Careers in data science with Accenture</title>
        <itunes:title>Careers in data science with Accenture</itunes:title>
        <link>https://turing.podbean.com/e/careers-in-data-science-with-accenture/</link>
                    <comments>https://turing.podbean.com/e/careers-in-data-science-with-accenture/#comments</comments>        <pubDate>Fri, 26 Nov 2021 01:00:00 +0000</pubDate>
        <guid isPermaLink="false">turing.podbean.com/264ab604-ba5c-31a4-a3e5-bb5ea8fbd568</guid>
                                    <description><![CDATA[<p>The latest episode of the Turing Podcast features a special roundtable discussion with our strategic partner Accenture about career options in the data science sector.</p>
<p>The latest episode of the Turing Podcast features a special roundtable discussion with our strategic partner Accenture about career options in the data science sector. Our hosts Jo Dungate and Bea Costa Gomes were joined by three influential figures in AI and data science - Henrietta Ridley (Data Science Manager at Accenture), Alice Aspinall (Senior Manager at Mudano), and Kirstie Whitaker (the Turing’s Director for the tools, practices and systems programme).</p>
<p>Our guests brought their different experiences and perspectives to an insightful discussion on various aspects of the data science industry, from how they first got into their fields, their career motivations and lessons learned along the way. The episode concludes with each guest offering advice to anyone at the beginning of their career.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>The latest episode of the Turing Podcast features a special roundtable discussion with our strategic partner Accenture about career options in the data science sector.</p>
<p>The latest episode of the Turing Podcast features a special roundtable discussion with our strategic partner Accenture about career options in the data science sector. Our hosts Jo Dungate and Bea Costa Gomes were joined by three influential figures in AI and data science - Henrietta Ridley (Data Science Manager at Accenture), Alice Aspinall (Senior Manager at Mudano), and Kirstie Whitaker (the Turing’s Director for the tools, practices and systems programme).</p>
<p>Our guests brought their different experiences and perspectives to an insightful discussion on various aspects of the data science industry, from how they first got into their fields, their career motivations and lessons learned along the way. The episode concludes with each guest offering advice to anyone at the beginning of their career.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/zmfntb/Careers_in_data_science_with_Accenturea41j4.mp3" length="48456514" type="audio/mpeg"/>
        <itunes:summary>The latest episode of the Turing Podcast features a special roundtable discussion with our strategic partner Accenture about career options in the data science sector.

The latest episode of the Turing Podcast features a special roundtable discussion with our strategic partner Accenture about career options in the data science sector. Our hosts Jo Dungate and Bea Costa Gomes were joined by three influential figures in AI and data science - Henrietta Ridley (Data Science Manager at Accenture), Alice Aspinall (Senior Manager at Mudano), and Kirstie Whitaker (the Turing’s Director for the tools, practices and systems programme).

Our guests brought their different experiences and perspectives to an insightful discussion on various aspects of the data science industry, from how they first got into their fields, their career motivations and lessons learned along the way. The episode concludes with each guest offering advice to anyone at the beginning of their career.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3028</itunes:duration>
        <itunes:season>2</itunes:season>
        <itunes:episode>14</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>”The problems of AI” with James Geddes</title>
        <itunes:title>”The problems of AI” with James Geddes</itunes:title>
        <link>https://turing.podbean.com/e/ttptpwai/</link>
                    <comments>https://turing.podbean.com/e/ttptpwai/#comments</comments>        <pubDate>Fri, 05 Nov 2021 16:37:17 +0000</pubDate>
        <guid isPermaLink="false">turing.podbean.com/3d7218e9-2af8-3996-8c1e-38f59819dd17</guid>
                                    <description><![CDATA[<p>This week on The Turing Podcast, the hosts chat with Dr James Geddes, who is a Principial Research Data Scientist in the Research Engineering Group at the Alan Turing Institute. The discussion revolves around an all-important question: What actually is AI? James breaks down three categories of computer programs that could be considered AI: Simulations, Symbolic AI and Machine Learning, and the hosts debate which, if any of these, are really intelligent! This week the podcast is hosted by Ed Chalstrey and introduces Christina Last.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week on The Turing Podcast, the hosts chat with Dr James Geddes, who is a Principial Research Data Scientist in the Research Engineering Group at the Alan Turing Institute. The discussion revolves around an all-important question: What actually is AI? James breaks down three categories of computer programs that could be considered AI: Simulations, Symbolic AI and Machine Learning, and the hosts debate which, if any of these, are really intelligent! This week the podcast is hosted by Ed Chalstrey and introduces Christina Last.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/tzt524/TTP_James_Geddes9hsoj.mp3" length="61643127" type="audio/mpeg"/>
        <itunes:summary>This week on The Turing Podcast, the hosts chat with Dr James Geddes, who is a Principial Research Data Scientist in the Research Engineering Group at the Alan Turing Institute. The discussion revolves around an all-important question: What actually is AI? James breaks down three categories of computer programs that could be considered AI: Simulations, Symbolic AI and Machine Learning, and the hosts debate which, if any of these, are really intelligent! This week the podcast is hosted by Ed Chalstrey and introduces Christina Last.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3852</itunes:duration>
        <itunes:season>2</itunes:season>
        <itunes:episode>13</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>You don’t need anybody’s permission to be a great mathematician</title>
        <itunes:title>You don’t need anybody’s permission to be a great mathematician</itunes:title>
        <link>https://turing.podbean.com/e/ttpnc/</link>
                    <comments>https://turing.podbean.com/e/ttpnc/#comments</comments>        <pubDate>Fri, 15 Oct 2021 14:38:05 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/dfac8cd3-17d7-30e1-a527-f249f028ce4f</guid>
                                    <description><![CDATA[<p>In this episode we talk to Dr Nira Chamberlain, president of The Institute of Mathematics and its Applications. We talk with Nira about Black History Month, mathematicians though history that have inspired him, and how mathematics can cross racial, geographical and cultural boundaries.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode we talk to Dr Nira Chamberlain, president of The Institute of Mathematics and its Applications. We talk with Nira about Black History Month, mathematicians though history that have inspired him, and how mathematics can cross racial, geographical and cultural boundaries.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/3y2fgn/TTP_Nira_Chamberlainbfc4r.mp3" length="21716322" type="audio/mpeg"/>
        <itunes:summary>In this episode we talk to Dr Nira Chamberlain, president of The Institute of Mathematics and its Applications. We talk with Nira about Black History Month, mathematicians though history that have inspired him, and how mathematics can cross racial, geographical and cultural boundaries.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1357</itunes:duration>
        <itunes:season>2</itunes:season>
        <itunes:episode>12</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Nicol Turner Lee: Bridging the digital divide</title>
        <itunes:title>Nicol Turner Lee: Bridging the digital divide</itunes:title>
        <link>https://turing.podbean.com/e/in-conversation-with-nicol-turner-lee/</link>
                    <comments>https://turing.podbean.com/e/in-conversation-with-nicol-turner-lee/#comments</comments>        <pubDate>Fri, 08 Oct 2021 16:58:44 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/53e08aea-e3a6-35c3-9d79-dd11fe90159b</guid>
                                    <description><![CDATA[
<p>The hosts were joined by Dr. Nicol Turner Lee to discuss her research on public policy, designed to enable equitable access to technology and digital equity.</p>
<p>We talk about themes in her recent book on the Digitally Invisible and the real-life consequences of the growing digital divide.</p>
<p>Nicol Turner Lee is a speaker, author and technology innovator. As well as a senior fellow in Governance Studies and Director of the Centre for Technology Innovation at the Brookings Institution in Washington DC, where she also serves as Co-Editor in Chief of the blog, Tech-Tank.</p>
]]></description>
                                                            <content:encoded><![CDATA[
<p>The hosts were joined by Dr. Nicol Turner Lee to discuss her research on public policy, designed to enable equitable access to technology and digital equity.</p>
<p>We talk about themes in her recent book on the Digitally Invisible and the real-life consequences of the growing digital divide.</p>
<p>Nicol Turner Lee is a speaker, author and technology innovator. As well as a senior fellow in Governance Studies and Director of the Centre for Technology Innovation at the Brookings Institution in Washington DC, where she also serves as Co-Editor in Chief of the blog, Tech-Tank.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/snmppx/TTP_Nicol_Turner-Lee92hrb.mp3" length="51230510" type="audio/mpeg"/>
        <itunes:summary><![CDATA[
The hosts were joined by Dr. Nicol Turner Lee to discuss her research on public policy, designed to enable equitable access to technology and digital equity.
We talk about themes in her recent book on the Digitally Invisible and the real-life consequences of the growing digital divide.
Nicol Turner Lee is a speaker, author and technology innovator. As well as a senior fellow in Governance Studies and Director of the Centre for Technology Innovation at the Brookings Institution in Washington DC, where she also serves as Co-Editor in Chief of the blog, Tech-Tank.
]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3201</itunes:duration>
                <itunes:episode>19</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>How to communicate science to non-specialists</title>
        <itunes:title>How to communicate science to non-specialists</itunes:title>
        <link>https://turing.podbean.com/e/ttpsciencecomms/</link>
                    <comments>https://turing.podbean.com/e/ttpsciencecomms/#comments</comments>        <pubDate>Fri, 24 Sep 2021 08:43:41 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/cb3bf90a-0858-3e20-a399-27ab1c57f701</guid>
                                    <description><![CDATA[We chat about all things science communication with two Turing colleagues: Ethics Research Fellow Mhairi Aitken and Science Writer James Lloyd. They discuss why we need science communicators in the first place, what makes for good communication, and what specific challenges are associated with communicating data science and AI research to the general public.]]></description>
                                                            <content:encoded><![CDATA[We chat about all things science communication with two Turing colleagues: Ethics Research Fellow Mhairi Aitken and Science Writer James Lloyd. They discuss why we need science communicators in the first place, what makes for good communication, and what specific challenges are associated with communicating data science and AI research to the general public.]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/7sqsaw/TTP_How_to_communicate_science_to_non-specialists7xsor.mp3" length="40517380" type="audio/mpeg"/>
        <itunes:summary>We chat about all things science communication with two Turing colleagues: Ethics Research Fellow Mhairi Aitken and Science Writer James Lloyd. They discuss why we need science communicators in the first place, what makes for good communication, and what specific challenges are associated with communicating data science and AI research to the general public.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2532</itunes:duration>
        <itunes:season>2</itunes:season>
        <itunes:episode>18</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Tackling the Infodemic</title>
        <itunes:title>Tackling the Infodemic</itunes:title>
        <link>https://turing.podbean.com/e/ttps2e10/</link>
                    <comments>https://turing.podbean.com/e/ttps2e10/#comments</comments>        <pubDate>Fri, 06 Aug 2021 17:53:24 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/ecfa290b-99f5-3151-ab7e-a6d04c8784b0</guid>
                                    <description><![CDATA[<p>This week on the podcast, we bring you a conversation the hosts had last December with PhD candidate Elizabeth Seger. Elizabeth studies at The University of Cambridge and is a research assistant at the Leverhulme Centre for the Future of Intelligence. Talking about her work with The Alan Turing Institute, she explains how informed decision making in democracies is being impacted by modern technology, and in particular how online misinformation has affected the pandemic response. Find out more about the research here: <a href='https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.turing.ac.uk%2Fblog%2Finfodemics-and-crisis-response%3F_cldee%3DZWNoYWxzdHJleUB0dXJpbmcuYWMudWs%253d%26recipientid%3Dcontact-9b098e61071be911a974002248014773-9d06c72d733d47418edbfd23c7e38bcb%26esid%3D2e510c56-7d14-eb11-a813-0022483ed0bb&data=04%7C01%7Cdwhitfield%40turing.ac.uk%7Ca05768586dc1456b7cf708d958e46664%7C4395f4a7e4554f958a9f1fbaef6384f9%7C0%7C0%7C637638560248664852%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=6ACm%2FA5oC%2FVL9MHx8gyP4A6mPVasp2HSKiXwf00UKlY%3D&reserved=0'>https://www.turing.ac.uk/blog/infodemics-and-crisis-response?_cldee=ZWNoYWxzdHJleUB0dXJpbmcuYWMudWs%3d&recipientid=contact-9b098e61071be911a974002248014773-9d06c72d733d47418edbfd23c7e38bcb&esid=2e510c56-7d14-eb11-a813-0022483ed0bb</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week on the podcast, we bring you a conversation the hosts had last December with PhD candidate Elizabeth Seger. Elizabeth studies at The University of Cambridge and is a research assistant at the Leverhulme Centre for the Future of Intelligence. Talking about her work with The Alan Turing Institute, she explains how informed decision making in democracies is being impacted by modern technology, and in particular how online misinformation has affected the pandemic response. Find out more about the research here: <a href='https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.turing.ac.uk%2Fblog%2Finfodemics-and-crisis-response%3F_cldee%3DZWNoYWxzdHJleUB0dXJpbmcuYWMudWs%253d%26recipientid%3Dcontact-9b098e61071be911a974002248014773-9d06c72d733d47418edbfd23c7e38bcb%26esid%3D2e510c56-7d14-eb11-a813-0022483ed0bb&data=04%7C01%7Cdwhitfield%40turing.ac.uk%7Ca05768586dc1456b7cf708d958e46664%7C4395f4a7e4554f958a9f1fbaef6384f9%7C0%7C0%7C637638560248664852%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=6ACm%2FA5oC%2FVL9MHx8gyP4A6mPVasp2HSKiXwf00UKlY%3D&reserved=0'>https://www.turing.ac.uk/blog/infodemics-and-crisis-response?_cldee=ZWNoYWxzdHJleUB0dXJpbmcuYWMudWs%3d&recipientid=contact-9b098e61071be911a974002248014773-9d06c72d733d47418edbfd23c7e38bcb&esid=2e510c56-7d14-eb11-a813-0022483ed0bb</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/m6ktf6/Infodemic_with_E_Segerbumzi.mp3" length="66534921" type="audio/mpeg"/>
        <itunes:summary>This week on the podcast, we bring you a conversation the hosts had last December with PhD candidate Elizabeth Seger. Elizabeth studies at The University of Cambridge and is a research assistant at the Leverhulme Centre for the Future of Intelligence. Talking about her work with The Alan Turing Institute, she explains how informed decision making in democracies is being impacted by modern technology, and in particular how online misinformation has affected the pandemic response. Find out more about the research here: https://www.turing.ac.uk/blog/infodemics-and-crisis-response?_cldee=ZWNoYWxzdHJleUB0dXJpbmcuYWMudWs%3d&amp;recipientid=contact-9b098e61071be911a974002248014773-9d06c72d733d47418edbfd23c7e38bcb&amp;esid=2e510c56-7d14-eb11-a813-0022483ed0bb</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>4158</itunes:duration>
        <itunes:season>2</itunes:season>
        <itunes:episode>10</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>How can AI help us understand breast cancer</title>
        <itunes:title>How can AI help us understand breast cancer</itunes:title>
        <link>https://turing.podbean.com/e/ttpah/</link>
                    <comments>https://turing.podbean.com/e/ttpah/#comments</comments>        <pubDate>Fri, 23 Jul 2021 16:32:12 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/16e094fe-d32f-30fe-986c-95734d37644f</guid>
                                    <description><![CDATA[In this episode hosts Jo Dungate and Rachel Winstanley speak to Andrew Holding, a Senior Research Associate at Cancer Research UK's (CRUK) Cambridge Institute and Turing Fellow. Andrew discusses how his research is using machine learning to understand the biology that underlies breast cancer to help improve treatments.]]></description>
                                                            <content:encoded><![CDATA[In this episode hosts Jo Dungate and Rachel Winstanley speak to Andrew Holding, a Senior Research Associate at Cancer Research UK's (CRUK) Cambridge Institute and Turing Fellow. Andrew discusses how his research is using machine learning to understand the biology that underlies breast cancer to help improve treatments.]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/8g6yn7/Andrew_Holding_Cancer_Research914fp.mp3" length="50634500" type="audio/mpeg"/>
        <itunes:summary>In this episode hosts Jo Dungate and Rachel Winstanley speak to Andrew Holding, a Senior Research Associate at Cancer Research UK's (CRUK) Cambridge Institute and Turing Fellow. Andrew discusses how his research is using machine learning to understand the biology that underlies breast cancer to help improve treatments.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3164</itunes:duration>
        <itunes:season>2</itunes:season>
        <itunes:episode>9</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Palaeoanalytics: Using Data Science and Machine Learning to answer questions about Human Evolution</title>
        <itunes:title>Palaeoanalytics: Using Data Science and Machine Learning to answer questions about Human Evolution</itunes:title>
        <link>https://turing.podbean.com/e/palaeoanalytics-using-data-science-and-machine-learning-to-answer-questions-about-human-evolution/</link>
                    <comments>https://turing.podbean.com/e/palaeoanalytics-using-data-science-and-machine-learning-to-answer-questions-about-human-evolution/#comments</comments>        <pubDate>Fri, 09 Jul 2021 21:09:55 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/3e026d68-3957-3142-b099-b6dbf023e041</guid>
                                    <description><![CDATA[<p>The hosts chat with to Professor Robert Foley, who works on Human Evolution at the University of Cambridge and is a Fellow of The Alan Turing Institute. The conversation takes a broad view of how our understanding of human evolution has changed in recent decades and focusses in on the Turing institute’s Palaeoanalytics project, which involves applying data science and machine learning methods to non-genomic data. Find out more about this project here: <a href='https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.turing.ac.uk%2Fresearch%2Fresearch-projects%2Fpalaeoanalytics&data=04%7C01%7Cdwhitfield%40turing.ac.uk%7C648f7d16911948214bd308d942e6a13f%7C4395f4a7e4554f958a9f1fbaef6384f9%7C0%7C0%7C637614380570459179%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=qzjAIb7cnUR2SoMG37VUr8J%2Bqx6sixRIdE559va%2B6wM%3D&reserved=0'>https://www.turing.ac.uk/research/research-projects/palaeoanalytics</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>The hosts chat with to Professor Robert Foley, who works on Human Evolution at the University of Cambridge and is a Fellow of The Alan Turing Institute. The conversation takes a broad view of how our understanding of human evolution has changed in recent decades and focusses in on the Turing institute’s Palaeoanalytics project, which involves applying data science and machine learning methods to non-genomic data. Find out more about this project here: <a href='https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.turing.ac.uk%2Fresearch%2Fresearch-projects%2Fpalaeoanalytics&data=04%7C01%7Cdwhitfield%40turing.ac.uk%7C648f7d16911948214bd308d942e6a13f%7C4395f4a7e4554f958a9f1fbaef6384f9%7C0%7C0%7C637614380570459179%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=qzjAIb7cnUR2SoMG37VUr8J%2Bqx6sixRIdE559va%2B6wM%3D&reserved=0'>https://www.turing.ac.uk/research/research-projects/palaeoanalytics</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/uy56a2/TTP_Robert_Foley693l2.mp3" length="67556831" type="audio/mpeg"/>
        <itunes:summary>The hosts chat with to Professor Robert Foley, who works on Human Evolution at the University of Cambridge and is a Fellow of The Alan Turing Institute. The conversation takes a broad view of how our understanding of human evolution has changed in recent decades and focusses in on the Turing institute’s Palaeoanalytics project, which involves applying data science and machine learning methods to non-genomic data. Find out more about this project here: https://www.turing.ac.uk/research/research-projects/palaeoanalytics</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>4222</itunes:duration>
        <itunes:season>2</itunes:season>
        <itunes:episode>8</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>How good is AI at detecting online hate?</title>
        <itunes:title>How good is AI at detecting online hate?</itunes:title>
        <link>https://turing.podbean.com/e/ttphatespeech/</link>
                    <comments>https://turing.podbean.com/e/ttphatespeech/#comments</comments>        <pubDate>Fri, 02 Jul 2021 15:59:00 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/0a41f4db-46b3-38e6-8894-1e99bd01ecb5</guid>
                                    <description><![CDATA[<p>AI is widely lauded as a way of reducing the burden on human online content moderators. However, to understand whether AI could, and should, replace human moderators, we need to understand its strengths and limitations. In this episode our hosts speak to the researchers Paul Röttger and Bertie Vidgen to discuss how they are attempting to tackle online hate speech, in particular through their work on HateCheck - a suite of tests for hate speech detection models.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>AI is widely lauded as a way of reducing the burden on human online content moderators. However, to understand whether AI could, and should, replace human moderators, we need to understand its strengths and limitations. In this episode our hosts speak to the researchers Paul Röttger and Bertie Vidgen to discuss how they are attempting to tackle online hate speech, in particular through their work on HateCheck - a suite of tests for hate speech detection models.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/58v26w/TTP_Hate_Speechbghe1.mp3" length="55973928" type="audio/mpeg"/>
        <itunes:summary>AI is widely lauded as a way of reducing the burden on human online content moderators. However, to understand whether AI could, and should, replace human moderators, we need to understand its strengths and limitations. In this episode our hosts speak to the researchers Paul Röttger and Bertie Vidgen to discuss how they are attempting to tackle online hate speech, in particular through their work on HateCheck - a suite of tests for hate speech detection models.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3498</itunes:duration>
        <itunes:season>2</itunes:season>
        <itunes:episode>7</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Optimizing Policy for Sustainable Development</title>
        <itunes:title>Optimizing Policy for Sustainable Development</itunes:title>
        <link>https://turing.podbean.com/e/ttpe23/</link>
                    <comments>https://turing.podbean.com/e/ttpe23/#comments</comments>        <pubDate>Tue, 25 May 2021 15:03:30 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/5558dd31-a911-33fc-848a-daee8009bf19</guid>
                                    <description><![CDATA[<p>In an interview recorded last year, Jo & Ed are joined by Dr Omar A Guerrero, an Economist & Computational Social Scientist at The Alan Turing Institute & UCL Department of Economics, whose research focusses on economic behaviour and institutions from an interdisciplinary angle. The episode focusses on Policy Priority Inference (PPI); a technology developed in collaboration with the United Nations Development Programme. PPI is intended to be used to optimise government policy to meet sustainable development goals and identify the policy priorities that governments need to set if they are to adopt a specific development strategy. Read more about the research discussed in this episode here: https://www.turing.ac.uk/research/research-projects/policy-priority-inference</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In an interview recorded last year, Jo & Ed are joined by Dr Omar A Guerrero, an Economist & Computational Social Scientist at The Alan Turing Institute & UCL Department of Economics, whose research focusses on economic behaviour and institutions from an interdisciplinary angle. The episode focusses on Policy Priority Inference (PPI); a technology developed in collaboration with the United Nations Development Programme. PPI is intended to be used to optimise government policy to meet sustainable development goals and identify the policy priorities that governments need to set if they are to adopt a specific development strategy. Read more about the research discussed in this episode here: https://www.turing.ac.uk/research/research-projects/policy-priority-inference</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/dhrbfp/Optimising_Policy_for_Sustainable_Development7t9j4.mp3" length="52133719" type="audio/mpeg"/>
        <itunes:summary>In an interview recorded last year, Jo &amp; Ed are joined by Dr Omar A Guerrero, an Economist &amp; Computational Social Scientist at The Alan Turing Institute &amp; UCL Department of Economics, whose research focusses on economic behaviour and institutions from an interdisciplinary angle. The episode focusses on Policy Priority Inference (PPI); a technology developed in collaboration with the United Nations Development Programme. PPI is intended to be used to optimise government policy to meet sustainable development goals and identify the policy priorities that governments need to set if they are to adopt a specific development strategy. Read more about the research discussed in this episode here: https://www.turing.ac.uk/research/research-projects/policy-priority-inference</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3258</itunes:duration>
        <itunes:season>2</itunes:season>
        <itunes:episode>6</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Covid lockdowns: which policies worked best?</title>
        <itunes:title>Covid lockdowns: which policies worked best?</itunes:title>
        <link>https://turing.podbean.com/e/ttps2e6/</link>
                    <comments>https://turing.podbean.com/e/ttps2e6/#comments</comments>        <pubDate>Wed, 28 Apr 2021 14:24:57 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/5c939971-da1d-3275-bbaf-6692c3a71ac6</guid>
                                    <description><![CDATA[<p>This week on the podcast, the hosts are joined by Sören Mindermann & Mrinank Sharma who are PhD students from Oxford University. Mrinank works as part of Oxford's Future of Humanity Institute, whilst Sören is a member of Oxford Applied and Theoretical Machine Learning Group and the episode focuses on the research they've recently had published on inferring the effectiveness of government interventions against Covid-19, during the first wave of the pandemic in 2020. You can find the research article for this work here: <a href='https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscience.sciencemag.org%2Fcontent%2F371%2F6531%2Feabd9338&data=04%7C01%7Cdwhitfield%40turing.ac.uk%7C77c8dbc303cc437070fd08d90a378c21%7C4395f4a7e4554f958a9f1fbaef6384f9%7C0%7C0%7C637552055949373616%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=4mP8KmAaJlZSbbwcxx76TACRy%2FBOQiD%2BgY5qCbHkgVs%3D&reserved=0'>https://science.sciencemag.org/content/371/6531/eabd9338</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week on the podcast, the hosts are joined by Sören Mindermann & Mrinank Sharma who are PhD students from Oxford University. Mrinank works as part of Oxford's Future of Humanity Institute, whilst Sören is a member of Oxford Applied and Theoretical Machine Learning Group and the episode focuses on the research they've recently had published on inferring the effectiveness of government interventions against Covid-19, during the first wave of the pandemic in 2020. You can find the research article for this work here: <a href='https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscience.sciencemag.org%2Fcontent%2F371%2F6531%2Feabd9338&data=04%7C01%7Cdwhitfield%40turing.ac.uk%7C77c8dbc303cc437070fd08d90a378c21%7C4395f4a7e4554f958a9f1fbaef6384f9%7C0%7C0%7C637552055949373616%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=4mP8KmAaJlZSbbwcxx76TACRy%2FBOQiD%2BgY5qCbHkgVs%3D&reserved=0'>https://science.sciencemag.org/content/371/6531/eabd9338</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/nvt2rv/TTP_S2E6_Covid_policies98rmj.mp3" length="56507693" type="audio/mpeg"/>
        <itunes:summary>This week on the podcast, the hosts are joined by Sören Mindermann &amp; Mrinank Sharma who are PhD students from Oxford University. Mrinank works as part of Oxford's Future of Humanity Institute, whilst Sören is a member of Oxford Applied and Theoretical Machine Learning Group and the episode focuses on the research they've recently had published on inferring the effectiveness of government interventions against Covid-19, during the first wave of the pandemic in 2020. You can find the research article for this work here: https://science.sciencemag.org/content/371/6531/eabd9338</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>4036</itunes:duration>
        <itunes:season>2</itunes:season>
        <itunes:episode>6</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>In conversation with Sue Black</title>
        <itunes:title>In conversation with Sue Black</itunes:title>
        <link>https://turing.podbean.com/e/ttp21/</link>
                    <comments>https://turing.podbean.com/e/ttp21/#comments</comments>        <pubDate>Mon, 08 Mar 2021 12:32:15 +0000</pubDate>
        <guid isPermaLink="false">turing.podbean.com/dc807ea5-20f8-3cc4-8b48-9830b485740b</guid>
                                    <description><![CDATA[
<p>In this episode the hosts were joined by Professor Sue Black to discuss her inspirational life story and career, as well as the initiatives she has set up to encourage more women into the tech sector and her hopes for the future.</p>
<p>Sue Black is a <a href='https://www.dur.ac.uk/computer.science/news/?itemno=36078'>Professor of Computer Science and Technology Evangelist at Durham University</a>, has set up initiatives such BCS women and the social enterprise Tech mums, to encourage more women into computing and has received an OBE for ‘Service to technology’. She was also instrumental in the campaign to save Bletchley Park.</p>
]]></description>
                                                            <content:encoded><![CDATA[
<p>In this episode the hosts were joined by Professor Sue Black to discuss her inspirational life story and career, as well as the initiatives she has set up to encourage more women into the tech sector and her hopes for the future.</p>
<p>Sue Black is a <a href='https://www.dur.ac.uk/computer.science/news/?itemno=36078'>Professor of Computer Science and Technology Evangelist at Durham University</a>, has set up initiatives such BCS women and the social enterprise Tech mums, to encourage more women into computing and has received an OBE for ‘Service to technology’. She was also instrumental in the campaign to save Bletchley Park.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/tq385m/TTP_Sue_Black7ngb4.mp3" length="62724805" type="audio/mpeg"/>
        <itunes:summary>In this episode the hosts were joined by Professor Sue Black to discuss her inspirational life story and career, as well as the initiatives she has set up to encourage more women into the tech sector and her hopes for the future.

Sue Black is a Professor of Computer Science and Technology Evangelist at Durham University, has set up initiatives such BCS women and the social enterprise Tech mums, to encourage more women into computing and has received an OBE for ‘Service to technology’. She was also instrumental in the campaign to save Bletchley Park.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3920</itunes:duration>
        <itunes:season>2</itunes:season>
        <itunes:episode>5</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Mapping the UK's Solar Power</title>
        <itunes:title>Mapping the UK's Solar Power</itunes:title>
        <link>https://turing.podbean.com/e/ttp20/</link>
                    <comments>https://turing.podbean.com/e/ttp20/#comments</comments>        <pubDate>Thu, 04 Mar 2021 10:48:14 +0000</pubDate>
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                                    <description><![CDATA[<p class="x_MsoNormal">This week the hosts chat with Dr Dan Stowell, senior researcher at Queen Mary University of London and fellow of The Alan Turing Institute, about his work on addressing climate change via creating high-coverage open dataset of solar photovoltaic installations in the UK.</p>
<p class="x_MsoNormal">It also happens to be research that podcast host Ed was involved in as you'll hear!</p>
<p class="x_MsoNormal">You can check out the paper on this topic, published in Nature Scientific Data here: https://www.nature.com/articles/s41597-020-00739-0</p>
]]></description>
                                                            <content:encoded><![CDATA[<p class="x_MsoNormal">This week the hosts chat with Dr Dan Stowell, senior researcher at Queen Mary University of London and fellow of The Alan Turing Institute, about his work on addressing climate change via creating high-coverage open dataset of solar photovoltaic installations in the UK.</p>
<p class="x_MsoNormal">It also happens to be research that podcast host Ed was involved in as you'll hear!</p>
<p class="x_MsoNormal">You can check out the paper on this topic, published in Nature Scientific Data here: https://www.nature.com/articles/s41597-020-00739-0</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/b85rpj/Mapping_the_UK_s_Solar_Power6yghh.mp3" length="67488704" type="audio/mpeg"/>
        <itunes:summary>This week the hosts chat with Dr Dan Stowell, senior researcher at Queen Mary University of London and fellow of The Alan Turing Institute, about his work on addressing climate change via creating high-coverage open dataset of solar photovoltaic installations in the UK.

It also happens to be research that podcast host Ed was involved in as you'll hear!

You can check out the paper on this topic, published in Nature Scientific Data here: https://www.nature.com/articles/s41597-020-00739-0</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>4218</itunes:duration>
        <itunes:season>2</itunes:season>
        <itunes:episode>4</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Robert Winston on science &amp; the public in the Covid era</title>
        <itunes:title>Robert Winston on science &amp; the public in the Covid era</itunes:title>
        <link>https://turing.podbean.com/e/ttprw/</link>
                    <comments>https://turing.podbean.com/e/ttprw/#comments</comments>        <pubDate>Tue, 23 Feb 2021 00:22:16 +0000</pubDate>
        <guid isPermaLink="false">turing.podbean.com/d25191ac-a646-3302-b3e4-74772f7af9ae</guid>
                                    <description><![CDATA[<p>On this episode of the podcast, we are joined by Lord Robert Winston to talk about engaging with the public about the science of combatting Covid-19. Professor of Science and Society and Emeritus Professor of Fertility Studies at Imperial College London, Robert has also had an incredible career in television, presenting the BBC’s The Secret Life of Twins, Child of Our Time and the BAFTA award-winning The Human Body. </p>
<p>Professor Winston runs a research programme at the Institute of Reproductive and Developmental Biology at Imperial College that aims to improve human transplantation. He has over 300 scientific publications about human reproduction and the early stages of pregnancy. He is also Chairman of the Genesis Research Trust – a charity which raised over £13 million to establish the Institute of Reproductive and Developmental Biology and which now funds high quality research into women’s health and babies.  </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>On this episode of the podcast, we are joined by Lord Robert Winston to talk about engaging with the public about the science of combatting Covid-19. Professor of Science and Society and Emeritus Professor of Fertility Studies at Imperial College London, Robert has also had an incredible career in television, presenting the BBC’s The Secret Life of Twins, Child of Our Time and the BAFTA award-winning The Human Body. </p>
<p>Professor Winston runs a research programme at the Institute of Reproductive and Developmental Biology at Imperial College that aims to improve human transplantation. He has over 300 scientific publications about human reproduction and the early stages of pregnancy. He is also Chairman of the Genesis Research Trust – a charity which raised over £13 million to establish the Institute of Reproductive and Developmental Biology and which now funds high quality research into women’s health and babies.  </p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/4pwwk7/TTP_ROBERT_WINSTON9gj5t.mp3" length="67213687" type="audio/mpeg"/>
        <itunes:summary>On this episode of the podcast, we are joined by Lord Robert Winston to talk about engaging with the public about the science of combatting Covid-19. Professor of Science and Society and Emeritus Professor of Fertility Studies at Imperial College London, Robert has also had an incredible career in television, presenting the BBC’s The Secret Life of Twins, Child of Our Time and the BAFTA award-winning The Human Body. 

Professor Winston runs a research programme at the Institute of Reproductive and Developmental Biology at Imperial College that aims to improve human transplantation. He has over 300 scientific publications about human reproduction and the early stages of pregnancy. He is also Chairman of the Genesis Research Trust – a charity which raised over £13 million to establish the Institute of Reproductive and Developmental Biology and which now funds high quality research into women’s health and babies.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>4200</itunes:duration>
        <itunes:season>2</itunes:season>
        <itunes:episode>3</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>AlphaFold &amp; Beyond: How AI and Data Science are Revolutionizing Biology</title>
        <itunes:title>AlphaFold &amp; Beyond: How AI and Data Science are Revolutionizing Biology</itunes:title>
        <link>https://turing.podbean.com/e/ttp19/</link>
                    <comments>https://turing.podbean.com/e/ttp19/#comments</comments>        <pubDate>Fri, 18 Dec 2020 20:25:47 +0000</pubDate>
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                                    <description><![CDATA[




<p>This week the hosts are joined by Professor Tim Hubbard, who is Head of the Department of Medical & Molecular Genetics at King’s College London, and Associate Director of Health Data Research UK in London, as well as being the Head of Genome Analysis at Genomics England. They discuss the recent success of Deep Mind's AlphaFold protein structure prediction software at the CASP14 competition and other developments from the worlds of health data science and genomics.</p>

 


 

]]></description>
                                                            <content:encoded><![CDATA[




<p>This week the hosts are joined by Professor Tim Hubbard, who is Head of the Department of Medical & Molecular Genetics at King’s College London, and Associate Director of Health Data Research UK in London, as well as being the Head of Genome Analysis at Genomics England. They discuss the recent success of Deep Mind's AlphaFold protein structure prediction software at the CASP14 competition and other developments from the worlds of health data science and genomics.</p>

 


 

]]></content:encoded>
                                    
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        <itunes:summary>This week the hosts are joined by Professor Tim Hubbard, who is Head of the Department of Medical &amp; Molecular Genetics at King’s College London, and Associate Director of Health Data Research UK in London, as well as being the Head of Genome Analysis at Genomics England. They discuss the recent success of Deep Mind's AlphaFold protein structure prediction software at the CASP14 competition and other developments from the worlds of health data science and genomics.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>4656</itunes:duration>
        <itunes:season>2</itunes:season>
        <itunes:episode>2</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>The Dark Triad: Modelling Psychopathy</title>
        <itunes:title>The Dark Triad: Modelling Psychopathy</itunes:title>
        <link>https://turing.podbean.com/e/ttp18/</link>
                    <comments>https://turing.podbean.com/e/ttp18/#comments</comments>        <pubDate>Fri, 04 Dec 2020 17:55:50 +0000</pubDate>
        <guid isPermaLink="false">turing.podbean.com/9d15fa00-e901-3baf-86b9-f6d5b85108db</guid>
                                    <description><![CDATA[<p>On the first episode of season 2, we are joined by Alexander Tokarev, a very recent PhD graduate from the University of Manchester. Alex does research in Organizational Psychology, Personality Psychology, and Psychometrics. With a strong mathematical and statistical background, he applies these to psychology. He is here to tell us a little bit about modelling personality traits, in particular the ones known as the dark core. </p>
<p> </p>
<p>Sound effects courtesy of Brand Name Audio</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>On the first episode of season 2, we are joined by Alexander Tokarev, a very recent PhD graduate from the University of Manchester. Alex does research in Organizational Psychology, Personality Psychology, and Psychometrics. With a strong mathematical and statistical background, he applies these to psychology. He is here to tell us a little bit about modelling personality traits, in particular the ones known as the dark core. </p>
<p> </p>
<p>Sound effects courtesy of Brand Name Audio</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/v69rxe/TTP_PSYCHOPATHY7fb3j.mp3" length="61545729" type="audio/mpeg"/>
        <itunes:summary>On the first episode of season 2, we are joined by Alexander Tokarev, a very recent PhD graduate from the University of Manchester. Alex does research in Organizational Psychology, Personality Psychology, and Psychometrics. With a strong mathematical and statistical background, he applies these to psychology. He is here to tell us a little bit about modeling personality traits, in particular the ones known as the dark core.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>4396</itunes:duration>
        <itunes:season>2</itunes:season>
        <itunes:episode>1</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>The Privacy Collective</title>
        <itunes:title>The Privacy Collective</itunes:title>
        <link>https://turing.podbean.com/e/ttp17/</link>
                    <comments>https://turing.podbean.com/e/ttp17/#comments</comments>        <pubDate>Fri, 09 Oct 2020 09:58:17 +0100</pubDate>
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                                    <description><![CDATA[<p>Ever wondered what you were signing up to when you click the “Accept all cookies” button that seems to appear on every new website you visit? In the final episode of The Turing Podcast Series One, the hosts are joined by Dr Rebecca Rumbul to talk about The Privacy Collective, an organization that supports compensation claims arising out of the misuse of personal data on behalf of the general public, and how they're involved in with the largest data privacy case against GDPR breaches in history. To learn more, check out their website here: https://theprivacycollective.eu/en/</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Ever wondered what you were signing up to when you click the “Accept all cookies” button that seems to appear on every new website you visit? In the final episode of The Turing Podcast Series One, the hosts are joined by Dr Rebecca Rumbul to talk about The Privacy Collective, an organization that supports compensation claims arising out of the misuse of personal data on behalf of the general public, and how they're involved in with the largest data privacy case against GDPR breaches in history. To learn more, check out their website here: https://theprivacycollective.eu/en/</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/sk8ms9/TTP_The_Privacy_Collective9guk6.mp3" length="66324270" type="audio/mpeg"/>
        <itunes:summary>Ever wondered what you were signing up to when you click the “Accept all cookies” button that seems to appear on every new website you visit? In the final episode of The Turing Podcast Series One, the hosts are joined by Dr Rebecca Rumbul to talk about The Privacy Collective, an organization that supports compensation claims arising out of the misuse of personal data on behalf of the general public, and how they're involved in with the largest data privacy case against GDPR breaches in history. To learn more, check out their website here: https://theprivacycollective.eu/en/</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>4145</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>17</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Project Odysseus: Capturing city activity to help exit lockdown</title>
        <itunes:title>Project Odysseus: Capturing city activity to help exit lockdown</itunes:title>
        <link>https://turing.podbean.com/e/ttp16/</link>
                    <comments>https://turing.podbean.com/e/ttp16/#comments</comments>        <pubDate>Thu, 01 Oct 2020 11:59:48 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/9f0c7e5e-cc8a-340a-b1ad-b521961ed3a8</guid>
                                    <description><![CDATA[<p>This week on The Turing Podcast, the hosts chat with James Walsh, a research assistant at The Alan Turing Institute, and Funmi Kesa, a PhD student at the University of Warwick, and hear about their work on “Project Odysseus”, one of The Alan Turing Institute’s key research projects in response to the COVID-19 Pandemic. By capturing activity in London to better understand 'busyness', the research aims to aid effective policy-making strategies for exiting lockdowns.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week on The Turing Podcast, the hosts chat with James Walsh, a research assistant at The Alan Turing Institute, and Funmi Kesa, a PhD student at the University of Warwick, and hear about their work on “Project Odysseus”, one of The Alan Turing Institute’s key research projects in response to the COVID-19 Pandemic. By capturing activity in London to better understand 'busyness', the research aims to aid effective policy-making strategies for exiting lockdowns.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/izi9vg/TTP_Project_Odysseusa30mv.mp3" length="37918510" type="audio/mpeg"/>
        <itunes:summary>This week on The Turing Podcast, the hosts chat with James Walsh, a research assistant at The Alan Turing Institute, and Funmi Kesa, a PhD student at the University of Warwick, and hear about their work on “Project Odysseus”, one of The Alan Turing Institute’s key research projects in response to the COVID-19 Pandemic. By capturing activity in London to better understand 'busyness', the research aims to aid effective policy-making strategies for exiting lockdowns.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2369</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>16</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Reproducible data science: How hard can it be?</title>
        <itunes:title>Reproducible data science: How hard can it be?</itunes:title>
        <link>https://turing.podbean.com/e/ttp15/</link>
                    <comments>https://turing.podbean.com/e/ttp15/#comments</comments>        <pubDate>Thu, 24 Sep 2020 18:38:49 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/1a7afd74-0df5-3b29-9445-0a9dbbff1be1</guid>
                                    <description><![CDATA[<p>The ability to reproduce the research that other scientists have done to see whether the same results are obtained (or the same conclusions are reached) is an integral part of the scientific process, but are we doing it right and how difficult is it to do? This week, Ed is joined by Dr Kirstie Whittaker and Dr Sarah Gibson for a discussion about the reproducibility of scientific research, why this is such an important topic and what The Alan Turing Institute is doing to promote best practices in reproducible data science. Kirstie is the Programme Lead for Tools, Practices and Systems at The Alan Turing Institute and Sarah is a Research Software Engineer at the Institute who is also a fellow of the Software Sustainability Institute. Check out some of the projects mentioned in the interview such as The Turing Way at <a href='https://the-turing-way.netlify.app/'>https://the-turing-way.netlify.app/</a> and Binder at <a href='https://mybinder.org/'>https://mybinder.org/</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>The ability to reproduce the research that other scientists have done to see whether the same results are obtained (or the same conclusions are reached) is an integral part of the scientific process, but are we doing it right and how difficult is it to do? This week, Ed is joined by Dr Kirstie Whittaker and Dr Sarah Gibson for a discussion about the reproducibility of scientific research, why this is such an important topic and what The Alan Turing Institute is doing to promote best practices in reproducible data science. Kirstie is the Programme Lead for Tools, Practices and Systems at The Alan Turing Institute and Sarah is a Research Software Engineer at the Institute who is also a fellow of the Software Sustainability Institute. Check out some of the projects mentioned in the interview such as The Turing Way at <a href='https://the-turing-way.netlify.app/'>https://the-turing-way.netlify.app/</a> and Binder at <a href='https://mybinder.org/'>https://mybinder.org/</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/zsjy2i/TTP_Reproducible_data_science924w1.mp3" length="63246418" type="audio/mpeg"/>
        <itunes:summary>The ability to reproduce the research that other scientists have done to see whether the same results are obtained (or the same conclusions are reached) is an integral part of the scientific process, but are we doing it right and how difficult is it to do? This week, Ed is joined by Dr Kirstie Whittaker and Dr Sarah Gibson for a discussion about the reproducibility of scientific research, why this is such an important topic and what The Alan Turing Institute is doing to promote best practices in reproducible data science. Kirstie is the Programme Lead for Tools, Practices and Systems at The Alan Turing Institute and Sarah is a Research Software Engineer at the Institute who is also a fellow of the Software Sustainability Institute. Check out some of the projects mentioned in the interview such as The Turing Way at https://the-turing-way.netlify.app/ and Binder at https://mybinder.org/</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3952</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>15</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Digital Identity: Can we trust it?</title>
        <itunes:title>Digital Identity: Can we trust it?</itunes:title>
        <link>https://turing.podbean.com/e/ttp14/</link>
                    <comments>https://turing.podbean.com/e/ttp14/#comments</comments>        <pubDate>Tue, 15 Sep 2020 23:18:30 +0100</pubDate>
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                                    <description><![CDATA[<p>Today, September 16th, is International Identity Day! To mark the occasion, the hosts are joined by Carsten Maple, who is Professor at the University of Warwick and Fellow of The Alan Turing Institute, for a conversation about the trustworthiness of digital identity systems, some of the related work going on at the institute and other “open” initiatives in the digital identity research space. Identification has come a long way since the 1990s when paper-based registries and documents, such as hardcopy passports, were the only option for fully verifying a person’s identity. The last decade has seen the proliferation of digital identity systems, both national and commercial, meaning that identities can be verified and checked securely, cheaply and at scale. Will digital identity systems will achieve fair and just outcomes for citizens? That remains an open question!</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Today, September 16th, is International Identity Day! To mark the occasion, the hosts are joined by Carsten Maple, who is Professor at the University of Warwick and Fellow of The Alan Turing Institute, for a conversation about the trustworthiness of digital identity systems, some of the related work going on at the institute and other “open” initiatives in the digital identity research space. Identification has come a long way since the 1990s when paper-based registries and documents, such as hardcopy passports, were the only option for fully verifying a person’s identity. The last decade has seen the proliferation of digital identity systems, both national and commercial, meaning that identities can be verified and checked securely, cheaply and at scale. Will digital identity systems will achieve fair and just outcomes for citizens? That remains an open question!</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/5i4tib/TTP_Digital_Identity_-_Can_we_trust_it6ze5w.mp3" length="58987414" type="audio/mpeg"/>
        <itunes:summary>Today, September 16th, is International Identity Day! To mark the occasion, the hosts are joined by Carsten Maple, who is Professor at the University of Warwick and Fellow of The Alan Turing Institute, for a conversation about the trustworthiness of digital identity systems, some of the related work going on at the institute and other “open” initiatives in the digital identity research space. Identification has come a long way since the 1990s when paper-based registries and documents, such as hardcopy passports, were the only option for fully verifying a person’s identity. The last decade has seen the proliferation of digital identity systems, both national and commercial, meaning that identities can be verified and checked securely, cheaply and at scale. Will digital identity systems will achieve fair and just outcomes for citizens? That remains an open question!</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3686</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>14</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Being an Epidemiologist in 2020</title>
        <itunes:title>Being an Epidemiologist in 2020</itunes:title>
        <link>https://turing.podbean.com/e/ttp13/</link>
                    <comments>https://turing.podbean.com/e/ttp13/#comments</comments>        <pubDate>Fri, 14 Aug 2020 16:40:01 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/f5d7b776-df84-3e68-a7c7-4fb269cd62ad</guid>
                                    <description><![CDATA[<p>This week on The Turing Podcast we're joined for a second time by Alan Turing Institute fellow Dr Peter Tennant of the Leeds Institute for Data Analytics, for a discussion about the scientific communities' response to the Covid19 pandemic. Peter is an expert not only in data science, but also Epidemiology and causal inference. The discussion took place in June when fewer of the UK’s lockdown restrictions had been lifted.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>This week on The Turing Podcast we're joined for a second time by Alan Turing Institute fellow Dr Peter Tennant of the Leeds Institute for Data Analytics, for a discussion about the scientific communities' response to the Covid19 pandemic. Peter is an expert not only in data science, but also Epidemiology and causal inference. The discussion took place in June when fewer of the UK’s lockdown restrictions had been lifted.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/8rw8w7/TTP_PT7s1tf.mp3" length="99954728" type="audio/mpeg"/>
        <itunes:summary>This week on The Turing Podcast we're joined for a second time by Alan Turing Institute fellow Dr Peter Tennant of the Leeds Institute for Data Analytics, for a discussion about the scientific communities' response to the Covid19 pandemic. Peter is an expert not only in data science, but also Epidemiology and causal inference. The discussion took place in June when fewer of the UK’s lockdown restrictions had been lifted.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>4164</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>13</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
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    <item>
        <title>Data journalism in the Covid19 era</title>
        <itunes:title>Data journalism in the Covid19 era</itunes:title>
        <link>https://turing.podbean.com/e/tc-podcast/</link>
                    <comments>https://turing.podbean.com/e/tc-podcast/#comments</comments>        <pubDate>Wed, 05 Aug 2020 12:51:42 +0100</pubDate>
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                                    <description><![CDATA[<p class="x_MsoNormal">This week The Turing Podcast welcomes our second external guest interviewee: Tom Chivers. Tom is a science writer and journalist who has previously worked for the Daily Telegraph and Buzzfeed UK, but now writes for the online publication UnHerd. His writing often focusses on topics such as rationalism and Artificial Intelligence and he has authored a popular science book titled: "The AI Does Not Hate You: Superintelligence, Rationality and the Race to Save the World". In this episode, the discussion revolves around the media coverage Covid19 pandemic, Tom's experience as data-savvy journalist and the challenges of accurately reporting on rapidly evolving science, at a time when public hunger for information is high and misinformation abounds!</p>
<p class="x_MsoNormal"> </p>
<p class="x_MsoNormal">You can keep up with Tom’s writing here:  <a href='https://unherd.com/author/tom-chivers/'>https://unherd.com/author/tom-chivers/</a> or follow him on twitter: @TomChivers</p>
]]></description>
                                                            <content:encoded><![CDATA[<p class="x_MsoNormal">This week The Turing Podcast welcomes our second external guest interviewee: Tom Chivers. Tom is a science writer and journalist who has previously worked for the Daily Telegraph and Buzzfeed UK, but now writes for the online publication UnHerd. His writing often focusses on topics such as rationalism and Artificial Intelligence and he has authored a popular science book titled: "The AI Does Not Hate You: Superintelligence, Rationality and the Race to Save the World". In this episode, the discussion revolves around the media coverage Covid19 pandemic, Tom's experience as data-savvy journalist and the challenges of accurately reporting on rapidly evolving science, at a time when public hunger for information is high and misinformation abounds!</p>
<p class="x_MsoNormal"> </p>
<p class="x_MsoNormal">You can keep up with Tom’s writing here:  <a href='https://unherd.com/author/tom-chivers/'>https://unherd.com/author/tom-chivers/</a> or follow him on twitter: @TomChivers</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/sefceg/TTP_Tom_Chivers_a7lan.mp3" length="93397576" type="audio/mpeg"/>
        <itunes:summary>This week The Turing Podcast welcomes our second external guest interviewee: Tom Chivers. Tom is a science writer and journalist who has previously worked for the Daily Telegraph and Buzzfeed UK, but now writes for the online publication UnHerd. His writing often focusses on topics such as rationalism and Artificial Intelligence and he has authored a popular science book titled: "The AI Does Not Hate You: Superintelligence, Rationality and the Race to Save the World". In this episode, the discussion revolves around the media coverage Covid19 pandemic, Tom's experience as data-savvy journalist and the challenges of accurately reporting on rapidly evolving science, at a time when public hunger for information is high and misinformation abounds!

 

You can keep up with Tom’s writing here:  https://unherd.com/author/tom-chivers/ or follow him on twitter: @TomChivers</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3891</itunes:duration>
                <itunes:episode>12</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Antibody Certificates for COVID-19?</title>
        <itunes:title>Antibody Certificates for COVID-19?</itunes:title>
        <link>https://turing.podbean.com/e/antibody-certificates-for-covid-19/</link>
                    <comments>https://turing.podbean.com/e/antibody-certificates-for-covid-19/#comments</comments>        <pubDate>Tue, 28 Jul 2020 10:26:25 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/fab83ec9-3c2a-3086-b536-9cca05dc1345</guid>
                                    <description><![CDATA[<p class="x_MsoNormal">On the podcast this week, the hosts chat with Dr Chris Hicks and Dr David Butler, who work as post-doctoral researchers in security and cryptography at The Alan Turing Institute. In an episode that focusses on one of the projects the institute has undertaken to help tackle the pandemic, they discuss how to build a privacy-preserving system for issuing and verifying Covid19 antibody certificates, a technology that could be used to help with the easing of pandemic measures in some scenarios. If you’d like to learn more about this research, check out their paper here: <a href='https://arxiv.org/abs/2005.11833'>https://arxiv.org/abs/2005.11833</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p class="x_MsoNormal">On the podcast this week, the hosts chat with Dr Chris Hicks and Dr David Butler, who work as post-doctoral researchers in security and cryptography at The Alan Turing Institute. In an episode that focusses on one of the projects the institute has undertaken to help tackle the pandemic, they discuss how to build a privacy-preserving system for issuing and verifying Covid19 antibody certificates, a technology that could be used to help with the easing of pandemic measures in some scenarios. If you’d like to learn more about this research, check out their paper here: <a href='https://arxiv.org/abs/2005.11833'>https://arxiv.org/abs/2005.11833</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/4spab8/ttp_immunity_certificates8106s.mp3" length="36973394" type="audio/mpeg"/>
        <itunes:summary><![CDATA[On the podcast this week, the hosts chat with Dr Chris Hicks and Dr David Butler, who work as post-doctoral researchers in security and cryptography at The Alan Turing Institute. In an episode that focusses on one of the projects the institute has undertaken to help tackle the pandemic, they discuss how to build a privacy-preserving system for issuing and verifying Covid19 antibody certificates, a technology that could be used to help with the easing of pandemic measures in some scenarios. If you’d like to learn more about this research, check out their paper here: https://arxiv.org/abs/2005.11833]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2640</itunes:duration>
                <itunes:episode>11</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>The Future of Tech</title>
        <itunes:title>The Future of Tech</itunes:title>
        <link>https://turing.podbean.com/e/the-future-of-tech-1592670471/</link>
                    <comments>https://turing.podbean.com/e/the-future-of-tech-1592670471/#comments</comments>        <pubDate>Sat, 20 Jun 2020 17:27:51 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/23e84920-5310-5339-a782-8ddd20932bc9</guid>
                                    <description><![CDATA[<p>In the last couple of decades, we've all been witness to the huge advances in personal computing and the astonishing rise of consumer technology. We now live on a planet that's more connected than ever before, with over 3.5 billion smartphone users, many of whom use social media on a daily basis. But where is consumer technology headed and what exciting developments are there on the horizon? In this episode of The Turing Podcast, the hosts speak to Daniel Rotar, CEO and Founder of ZONEofTECH: one of the largest UK based Technology YouTube channels, for a conversation that ranges from the latest developments in Augmented Reality (AR) technology and smartphone design to the intersection of AI research and consumer tech.</p>
<p> </p>
<p>You can watch and subscribe to ZONEofTECH here: https://www.youtube.com/user/ZONEofTECH/</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In the last couple of decades, we've all been witness to the huge advances in personal computing and the astonishing rise of consumer technology. We now live on a planet that's more connected than ever before, with over 3.5 billion smartphone users, many of whom use social media on a daily basis. But where is consumer technology headed and what exciting developments are there on the horizon? In this episode of The Turing Podcast, the hosts speak to Daniel Rotar, CEO and Founder of ZONEofTECH: one of the largest UK based Technology YouTube channels, for a conversation that ranges from the latest developments in Augmented Reality (AR) technology and smartphone design to the intersection of AI research and consumer tech.</p>
<p> </p>
<p>You can watch and subscribe to ZONEofTECH here: https://www.youtube.com/user/ZONEofTECH/</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/cfvtia/TTP_The_Future_of_Tech_85it0.mp3" length="83487168" type="audio/mpeg"/>
        <itunes:summary>In the last couple of decades, we've all been witness to the huge advances in personal computing and the astonishing rise of consumer technology. We now live on a planet that's more connected than ever before, with over 3.5 billion smartphone users, many of whom use social media on a daily basis. But where is consumer technology headed and what exciting developments are there on the horizon? In this episode of The Turing Podcast, the hosts speak to Daniel Rotar, CEO and Founder of ZONEofTECH: one of the largest UK based Technology YouTube channels, for a conversation that ranges from the latest developments in Augmented Reality (AR) technology and smartphone design to the intersection of AI research and consumer tech.

 

You can watch and subscribe to ZONEofTECH here: https://www.youtube.com/user/ZONEofTECH/</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3478</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>10</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Amsterdam's 3D printed steel bridge and it's digital twin</title>
        <itunes:title>Amsterdam's 3D printed steel bridge and it's digital twin</itunes:title>
        <link>https://turing.podbean.com/e/ttp9/</link>
                    <comments>https://turing.podbean.com/e/ttp9/#comments</comments>        <pubDate>Tue, 16 Jun 2020 11:22:34 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/84db1b39-2063-5279-a5fd-58db23532710</guid>
                                    <description><![CDATA[<p>In this week's podcast, the hosts speak with Dr Eric Daub, a Principal Research Data Scientist at The Alan Turing Institute, about his involvement in measuring, monitoring, and analysing the performance of the world’s largest 3D printed metal structure: a 12 metre-long stainless steel bridge crossing one of Amsterdam's canals.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this week's podcast, the hosts speak with Dr Eric Daub, a Principal Research Data Scientist at The Alan Turing Institute, about his involvement in measuring, monitoring, and analysing the performance of the world’s largest 3D printed metal structure: a 12 metre-long stainless steel bridge crossing one of Amsterdam's canals.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/t807g2/TTP_Amsterdams_3D_printed_steel_bridge_and_it_s_digital_twin_7o7qj.mp3" length="57937292" type="audio/mpeg"/>
        <itunes:summary>In this week's podcast, the hosts speak with Dr Eric Daub, a Principal Research Data Scientist at The Alan Turing Institute, about his involvement in measuring, monitoring, and analysing the performance of the world’s largest 3D printed metal structure: a 12 metre-long stainless steel bridge crossing one of Amsterdam's canals.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2464</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>9</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>AIrsenal: The Fantasy Football AI</title>
        <itunes:title>AIrsenal: The Fantasy Football AI</itunes:title>
        <link>https://turing.podbean.com/e/ttp8/</link>
                    <comments>https://turing.podbean.com/e/ttp8/#comments</comments>        <pubDate>Mon, 08 Jun 2020 12:12:17 +0100</pubDate>
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                                    <description><![CDATA[<p class="x_MsoNormal">This week's episode takes us back the pre-covid19 era, when premier league football was still a thing! Dr Nick Barlow of The Alan Turing Institute's Research Engineering Group chats to the podcast hosts about his side project "AIrsenal", a machine learning manager for Fantasy Premier League. You can find out more about the project and even contribute to the code via these links:</p>
<p class="x_MsoNormal">- <a href='https://www.turing.ac.uk/news/airsenal-difficult-second-season'>https://www.turing.ac.uk/news/airsenal-difficult-second-season</a></p>
<p class="x_MsoNormal">- <a href='https://github.com/alan-turing-institute/AIrsenal/blob/master/CONTRIBUTING.md'>https://github.com/alan-turing-institute/AIrsenal/blob/master/CONTRIBUTING.md</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p class="x_MsoNormal">This week's episode takes us back the pre-covid19 era, when premier league football was still a thing! Dr Nick Barlow of The Alan Turing Institute's Research Engineering Group chats to the podcast hosts about his side project "AIrsenal", a machine learning manager for Fantasy Premier League. You can find out more about the project and even contribute to the code via these links:</p>
<p class="x_MsoNormal">- <a href='https://www.turing.ac.uk/news/airsenal-difficult-second-season'>https://www.turing.ac.uk/news/airsenal-difficult-second-season</a></p>
<p class="x_MsoNormal">- <a href='https://github.com/alan-turing-institute/AIrsenal/blob/master/CONTRIBUTING.md'>https://github.com/alan-turing-institute/AIrsenal/blob/master/CONTRIBUTING.md</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/eg4b63/TTP_E8_AIRSENAL_7o6ul.mp3" length="35068446" type="audio/mpeg"/>
        <itunes:summary>This week's episode takes us back the pre-covid19 era, when premier league football was still a thing! Dr Nick Barlow of The Alan Turing Institute's Research Engineering Group chats to the podcast hosts about his side project "AIrsenal", a machine learning manager for Fantasy Premier League. You can find out more about the project and even contribute to the code via these links:

- https://www.turing.ac.uk/news/airsenal-difficult-second-season

- https://github.com/alan-turing-institute/AIrsenal/blob/master/CONTRIBUTING.md</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1461</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>8</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Superbug evolution: understanding the spread of antimicrobial resistance</title>
        <itunes:title>Superbug evolution: understanding the spread of antimicrobial resistance</itunes:title>
        <link>https://turing.podbean.com/e/ttp7/</link>
                    <comments>https://turing.podbean.com/e/ttp7/#comments</comments>        <pubDate>Tue, 02 Jun 2020 11:58:48 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/c4fec052-4a8c-560d-bf68-aa029a880982</guid>
                                    <description><![CDATA[<p class="x_MsoNormal">Viruses like SARS-CoV-2, which causes Covid-19, aren't the only problem we face globally when it comes to infectious disease. Bacterial pathogens are constantly evolving, presenting a challenge for the worlds healthcare systems as more of the antibiotics we rely on to kill bacteria fail on those that have evolved antimicrobial resistance. In this episode, we chat with Victoria Carr, a PhD student in Bioinformatics at the Centre for Host-Microbiome Interactions Kings College London and The Alan Turing Institute, who describes her research comparing antimicrobial resistance in mouth and gut microbes and developing software to find "mobile genetic elements" (DNA sequences that can change position within a genome) and their association with antibiotic resistance genes. Be sure to also check out Vicky's podcast about women in tech at  <a href='https://www.researcherscode.com/podcast'>https://www.researcherscode.com/podcast</a></p>
<p class="x_MsoNormal"> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p class="x_MsoNormal">Viruses like SARS-CoV-2, which causes Covid-19, aren't the only problem we face globally when it comes to infectious disease. Bacterial pathogens are constantly evolving, presenting a challenge for the worlds healthcare systems as more of the antibiotics we rely on to kill bacteria fail on those that have evolved antimicrobial resistance. In this episode, we chat with Victoria Carr, a PhD student in Bioinformatics at the Centre for Host-Microbiome Interactions Kings College London and The Alan Turing Institute, who describes her research comparing antimicrobial resistance in mouth and gut microbes and developing software to find "mobile genetic elements" (DNA sequences that can change position within a genome) and their association with antibiotic resistance genes. Be sure to also check out Vicky's podcast about women in tech at  <a href='https://www.researcherscode.com/podcast'>https://www.researcherscode.com/podcast</a></p>
<p class="x_MsoNormal"> </p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/0zfpc6/TTP7_Superbug_evolution_6achc.mp3" length="61438464" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Viruses like SARS-CoV-2, which causes Covid-19, aren't the only problem we face globally when it comes to infectious disease. Bacterial pathogens are constantly evolving, presenting a challenge for the worlds healthcare systems as more of the antibiotics we rely on to kill bacteria fail on those that have evolved antimicrobial resistance. In this episode, we chat with Victoria Carr, a PhD student in Bioinformatics at the Centre for Host-Microbiome Interactions Kings College London and The Alan Turing Institute, who describes her research comparing antimicrobial resistance in mouth and gut microbes and developing software to find "mobile genetic elements" (DNA sequences that can change position within a genome) and their association with antibiotic resistance genes. Be sure to also check out Vicky's podcast about women in tech at  https://www.researcherscode.com/podcast
 ]]></itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2559</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>7</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Image analysis in neurodegenerative disease</title>
        <itunes:title>Image analysis in neurodegenerative disease</itunes:title>
        <link>https://turing.podbean.com/e/ttp6/</link>
                    <comments>https://turing.podbean.com/e/ttp6/#comments</comments>        <pubDate>Mon, 18 May 2020 15:11:54 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/f07abbb3-2970-56ee-9b32-c2caa681448c</guid>
                                    <description><![CDATA[<p>Image recognition and classification is a hot topic in AI research, and these tools are increasingly being utilised by biologists with the aim to classify and distinguish diseases. In this episode, Bea Costa Gomes, a PhD candidate and Turing enrichment student at The University of Manchester talks about her research into developing software that spots shape differences in the images of diseased brain cells, as well as her passion for Drosophila flies!</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Image recognition and classification is a hot topic in AI research, and these tools are increasingly being utilised by biologists with the aim to classify and distinguish diseases. In this episode, Bea Costa Gomes, a PhD candidate and Turing enrichment student at The University of Manchester talks about her research into developing software that spots shape differences in the images of diseased brain cells, as well as her passion for <em>Drosophila </em>flies!</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/3vf7k2/TTP6Imageanalysisinneurodegenerativediseaseaoymu.mp3" length="32865309" type="audio/mpeg"/>
        <itunes:summary>Image recognition and classification is a hot topic in AI research, and these tools are increasingly being utilised by biologists with the aim to classify and distinguish diseases. In this episode, Bea Costa Gomes, a PhD candidate and Turing enrichment student at The University of Manchester talks about her research into developing software that spots shape differences in the images of diseased brain cells, as well as her passion for Drosophila flies!</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2347</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>6</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Cause &amp; Effect</title>
        <itunes:title>Cause &amp; Effect</itunes:title>
        <link>https://turing.podbean.com/e/ttp5/</link>
                    <comments>https://turing.podbean.com/e/ttp5/#comments</comments>        <pubDate>Tue, 12 May 2020 11:49:11 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/4ddd4480-4daa-5a6c-b6e7-9bcde0928271</guid>
                                    <description><![CDATA[<p class="x_MsoNormal">Remember back at school when you were taught that correlation doesn’t mean causation, that increased ice cream sales are correlated with sunnier weather but don’t cause the clouds to part? Peter Tennant, a fellow of the Alan Turing Institute based at Leeds Institute for Data Analytics explains why it’s important for scientists to become more confident in talking about causation, how "causal inference" methods are transforming the field of epidemiology and why AI isn’t typically best placed to make sensible assumptions about complex data. This episode was recorded before the Covid-19 lockdown began in the UK, but the topics discussed couldn’t be more relevant!</p>
]]></description>
                                                            <content:encoded><![CDATA[<p class="x_MsoNormal">Remember back at school when you were taught that correlation doesn’t mean causation, that increased ice cream sales are correlated with sunnier weather but don’t <em>cause </em>the clouds to part? Peter Tennant, a fellow of the Alan Turing Institute based at Leeds Institute for Data Analytics explains why it’s important for scientists to become more confident in talking about causation, how "causal inference" methods are transforming the field of epidemiology and why AI isn’t typically best placed to make sensible assumptions about complex data. This episode was recorded before the Covid-19 lockdown began in the UK, but the topics discussed couldn’t be more relevant!</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/lkzy8i/TTPE5CauseEffectarknt.mp3" length="26145707" type="audio/mpeg"/>
        <itunes:summary>Remember back at school when you were taught that correlation doesn’t mean causation, that increased ice cream sales are correlated with sunnier weather but don’t cause the clouds to part? Peter Tennant, a fellow of the Alan Turing Institute based at Leeds Institute for Data Analytics explains why it’s important for scientists to become more confident in talking about causation, how "causal inference" methods are transforming the field of epidemiology and why AI isn’t typically best placed to make sensible assumptions about complex data. This episode was recorded before the Covid-19 lockdown began in the UK, but the topics discussed couldn’t be more relevant!</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1867</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>5</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Astrophysics in the age of big data</title>
        <itunes:title>Astrophysics in the age of big data</itunes:title>
        <link>https://turing.podbean.com/e/ttp4/</link>
                    <comments>https://turing.podbean.com/e/ttp4/#comments</comments>        <pubDate>Mon, 04 May 2020 16:57:36 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/c87eb06b-45b4-59c7-9bd2-190979eb5f3c</guid>
                                    <description><![CDATA[<p>Large datasets and modern machine learning techniques are fast changing the field of Astrophysics and our understanding of the universe. In this episode, we chat with PhD candidates Tarek Allam and Gordon Yip, whose respective research at University College London’s Department of Physics and Astronomy focuses on the classification of supernova light curves to help constrain theories of Dark Energy and the atmospheric composition of remote exo-planets.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Large datasets and modern machine learning techniques are fast changing the field of Astrophysics and our understanding of the universe. In this episode, we chat with PhD candidates Tarek Allam and Gordon Yip, whose respective research at University College London’s Department of Physics and Astronomy focuses on the classification of supernova light curves to help constrain theories of Dark Energy and the atmospheric composition of remote exo-planets.</p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/p5g7qj/TTS_4_Astrophysics_in_the_age_of_big_data.mp3" length="47821635" type="audio/mpeg"/>
        <itunes:summary>Large datasets and modern machine learning techniques are fast changing the field of Astrophysics and our understanding of the universe. In this episode, we chat with PhD candidates Tarek Allam and Gordon Yip, whose respective research at University College London’s Department of Physics and Astronomy focuses on the classification of supernova light curves to help constrain theories of Dark Energy and the atmospheric composition of remote exo-planets.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1992</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>4</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Data trusts: Power to the people in the digital age</title>
        <itunes:title>Data trusts: Power to the people in the digital age</itunes:title>
        <link>https://turing.podbean.com/e/ttp3/</link>
                    <comments>https://turing.podbean.com/e/ttp3/#comments</comments>        <pubDate>Mon, 27 Apr 2020 15:59:22 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/3236450b-bfdc-5487-9ffa-acc3c10ba6af</guid>
                                    <description><![CDATA[<p>How can groups of people be empowered to share sensitive personal data such as medical records, with transparency about how they will be used? This is a question of particular relevance during the Covid-19 pandemic, when scientific research into the disease can greatly benefit from data collection at scale. In this episode, we're talking to Sylvie Delacroix, Turing Fellow and Professor in Law and Ethics at Birmingham Law School (University of Birmingham) about the concept of data trusts and how they enable the sharing and safeguarding of data. <a href='https://datatrusts.uk/'>https://datatrusts.uk/</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>How can groups of people be empowered to share sensitive personal data such as medical records, with transparency about how they will be used? This is a question of particular relevance during the Covid-19 pandemic, when scientific research into the disease can greatly benefit from data collection at scale. In this episode, we're talking to Sylvie Delacroix, Turing Fellow and Professor in Law and Ethics at Birmingham Law School (University of Birmingham) about the concept of data trusts and how they enable the sharing and safeguarding of data. <a href='https://datatrusts.uk/'>https://datatrusts.uk/</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/nzjt4q/TTP_EPISODE_3_-_COVID19_SYLVIE.mp3" length="44796446" type="audio/mpeg"/>
        <itunes:summary>How can groups of people be empowered to share sensitive personal data such as medical records, with transparency about how they will be used? This is a question of particular relevance during the Covid-19 pandemic, when scientific research into the disease can greatly benefit from data collection at scale. In this episode, we're talking to Sylvie Delacroix, Turing Fellow and Professor in Law and Ethics at Birmingham Law School (University of Birmingham) about the concept of data trusts and how they enable the sharing and safeguarding of data. https://datatrusts.uk/</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2816</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>3</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Tracking the Pandemic</title>
        <itunes:title>Tracking the Pandemic</itunes:title>
        <link>https://turing.podbean.com/e/ttp2/</link>
                    <comments>https://turing.podbean.com/e/ttp2/#comments</comments>        <pubDate>Thu, 09 Apr 2020 15:09:11 +0100</pubDate>
        <guid isPermaLink="false">turing.podbean.com/1a413641-ab9f-5204-9980-58d3b2289fe5</guid>
                                    <description><![CDATA[<p>How can data science support us in tackling the Covid-19 pandemic? Our Researcher at Large, Jon Crowcroft, speaks about how smartphones can be mobilised to track the Covid-19 pandemic. He also discusses how data science and AI research is playing a crucial role in finding solutions during the crisis.</p>
<p> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>How can data science support us in tackling the Covid-19 pandemic? Our Researcher at Large, Jon Crowcroft, speaks about how smartphones can be mobilised to track the Covid-19 pandemic. He also discusses how data science and AI research is playing a crucial role in finding solutions during the crisis.</p>
<p> </p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/6ufkv6/TTP_EPISODE_2_-_COVID19_SPECIAL_JCC.mp3" length="88676352" type="audio/mpeg"/>
        <itunes:summary>How can data science support us in tackling the Covid-19 pandemic? Our Researcher at Large, Jon Crowcroft, speaks about how smartphones can be mobilised to track the Covid-19 pandemic. He also discusses how data science and AI research is playing a crucial role in finding solutions during the crisis.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3694</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>2</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
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    <item>
        <title>AI for the Skies</title>
        <itunes:title>AI for the Skies</itunes:title>
        <link>https://turing.podbean.com/e/ttp1/</link>
                    <comments>https://turing.podbean.com/e/ttp1/#comments</comments>        <pubDate>Tue, 31 Mar 2020 13:24:26 +0100</pubDate>
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                                    <description><![CDATA[<p>Recorded a few months ago, in our first episode we speak to Dr Radka Jersakova, Research Data Scientist at The Institute about her project that applies AI to air traffic control simulators.  Join us as we discuss how advances in AI may go some way paving the way towards putting more planes (safely) in the sky. </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Recorded a few months ago, in our first episode we speak to Dr Radka Jersakova, Research Data Scientist at The Institute about her project that applies AI to air traffic control simulators.  Join us as we discuss how advances in AI may go some way paving the way towards putting more planes (safely) in the sky. </p>
]]></content:encoded>
                                    
        <enclosure url="https://dts.podtrac.com/redirect.mp3/mcdn.podbean.com/mf/web/cgacwq/AI_for_the_Skies.mp3" length="27308616" type="audio/mpeg"/>
        <itunes:summary>Recorded a few months ago, in our first episode we speak to Dr Radka Jersakova, Research Data Scientist at The Institute about her project that applies AI to air traffic control simulators.  Join us as we discuss how advances in AI may go some way paving the way towards putting more planes (safely) in the sky.</itunes:summary>
        <itunes:author>The Alan Turing Institute</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1706</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>1</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
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