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    <title>Installation on metaLAB (at) Harvard, Berlin &amp; Basel</title>
    <link>https://mlml.io/type/installation/</link>
    <description>Recent installation on metaLAB (at) Harvard, Berlin &amp; Basel</description>
    <language>en-US</language>
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    <item>
      <title>Showcases</title>
      <link>https://mlml.io/p/showcases/</link>
      <pubDate>Tue, 01 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://mlml.io/p/showcases/</guid>
      <category>project</category>
      <description>Showcases is a data-driven investigation that visualizes police reports of politically motivated crimes to draw attention to a mounting normalization of xenophobic, trans- and homophobic violence and right-extremism in Germany. It roots in disturbing records of incidents such as: swastikas (Hakenkreuz) appearing on walls of mosques, synagogues and schools; people tearing off the Hidschāb from a 14-year-old and spitting in her hair; cashiers confronted with drunk customers that perform the Hitler salute.</description>
    </item>
    
    <item>
      <title>Algorithmic Ecologies</title>
      <link>https://mlml.io/p/algorithmic-ecologies/</link>
      <pubDate>Sun, 02 Mar 2025 00:00:00 +0000</pubDate>
      <guid>https://mlml.io/p/algorithmic-ecologies/</guid>
      <category>project</category>
      <description>Environmental events such as increased rainfall and heat waves are becoming pressing issues for both human and nonhuman residents – globally, and in Berlin. In response, the two-day hack at the ZK/U Berlin - Center for Art and Urbanistics prototyped artistic installations that deepen an understanding of rainwater and rainfall patterns, and their impacts on urban life.
From the droplet on the roof, through the rainwater downpipe, into the barrel, and from there into the garden – from abundance to absence: Three site-specific interventions were explored to help to build ecological literacy among participants and the wider public, proposing possible prototypes and pathways for near-future human-nonhuman companionship.</description>
    </item>
    
    <item>
      <title>Records</title>
      <link>https://mlml.io/p/records/</link>
      <pubDate>Wed, 05 Feb 2025 00:00:00 +0000</pubDate>
      <guid>https://mlml.io/p/records/</guid>
      <category>project</category>
      <description>The history of Olympic sport is written in records. Records tell the tale of individual athletes and national teams, of the rise and fall of ancient and modern sports, of changing approaches to athletic training and preparation. They also track the history of human achievements: firsts that are followed by new firsts in the pursuit of ever higher summits of excellence.
Records are achieved by human bodies that compete both against their peers and against precedent, which is to say, against the “record book.</description>
    </item>
    
    <item>
      <title>Up-Dates on Weather</title>
      <link>https://mlml.io/p/up-dates-on-weather/</link>
      <pubDate>Mon, 01 Apr 2024 00:00:00 +0000</pubDate>
      <guid>https://mlml.io/p/up-dates-on-weather/</guid>
      <category>project</category>
      <description>ClimArt, situated within ZK/U Berlin, focuses on raising awareness and mobilizing urban climate resilience through artistic interventions. The collaborative research between metaLAB and ClimArt investigates in/visibilities of climate change through case studies, prototypes, and strategic interventions. The project challenges the politics of truths and data representations from the perspectives of artistic and practice-based research.
Project Context The current knowledge system about climate change predominantly relies on a planetary-scaled sensing system — a technological megastructure that abstracts nature into data, transforms data into analysis, and converts analysis into predictions.</description>
    </item>
    
    <item>
      <title>Post_Networks</title>
      <link>https://mlml.io/p/post-networks/</link>
      <pubDate>Tue, 01 Nov 2022 00:00:00 +0000</pubDate>
      <guid>https://mlml.io/p/post-networks/</guid>
      <category>project</category>
      <description>Networks consist of conglomerates of points connected by lines. Two forces allocate their positions. Points repulse each other; they drift away from one another through time.
Lines draw points together.
A performance without width or thickness of separation and togetherness. Networks segment space, creating borders through their connectedness without occupying the surface. Networks are spaceless entities defined by the power relationship of attraction and separation. Network connections create boundaries without walls.</description>
    </item>
    
    <item>
      <title>Black Lives Matter Street Mural Map</title>
      <link>https://mlml.io/p/black-lives-matter-street-mural-map/</link>
      <pubDate>Wed, 31 Aug 2022 00:00:00 +0000</pubDate>
      <guid>https://mlml.io/p/black-lives-matter-street-mural-map/</guid>
      <category>project</category>
      <description>Following the murder of George Floyd at the hands of Minneapolis police in the summer of 2020, a vital trend propagated throughout the country and even internationally as communities—big and small, urban and rural, sanctioned and unsanctioned—engaged in a memetic dialogue of installing and remixing anti-racist artworks on their streets. The Black Lives Matter Street Mural Map—an open research project created as a collaboration between the Kennedy School’s Belfer Center (Stephen Larrick) and metaLAB (at) Harvard &amp;amp; FU Berlin (Kim Albrecht)—documents these works as a research database and as a map featured in the Designing Peace (2022 – 2023) exhibition at the Cooper Hewitt Smithsonian Museum of Design in Manhattan.</description>
    </item>
    
    <item>
      <title>Curatorial A(i)gents</title>
      <link>https://mlml.io/p/curatorial-aigents/</link>
      <pubDate>Sun, 15 May 2022 00:00:00 +0000</pubDate>
      <guid>https://mlml.io/p/curatorial-aigents/</guid>
      <category>project</category>
      <description>Curatorial A(i)gents presented a series of machine-learning experiments with the Harvard Art Museums’ digital collections developed by members and affiliates of metaLAB (at) Harvard. The exhibition ran from March 1 through May 15, 2022 as part of an extended metaLAB residency in the museums’ Lightbox Gallery. During this period, four panel discussions among the artists and designers of Curatorial A(i)gents were offered on Zoom and remain available with closed captions on Vimeo.</description>
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    <item>
      <title>Watching Machines Loving Grace</title>
      <link>https://mlml.io/p/watching-machines-loving-grace/</link>
      <pubDate>Tue, 01 Mar 2022 00:00:00 +0000</pubDate>
      <guid>https://mlml.io/p/watching-machines-loving-grace/</guid>
      <category>project</category>
      <description>Watching Machines Loving Grace observes the otherwise unwanted parts of facial recognition. The project visualizes the media negativity of algorithmic visual sense-making within the Harvard Art Museums collection.
Computer vision is reductive by design. It proceeds by splicing rectangles out of images to determine age, gender, or facial expression, among others but removes the contextual framework to perform the task. For a human observer, the image of a smiling 24-year-old belly dancer and a smiling 24-year-old old soldier may appear sharply distinct.</description>
    </item>
    
    <item>
      <title>#MeToo Anti-Network</title>
      <link>https://mlml.io/p/me-too-anti-network/</link>
      <pubDate>Tue, 30 Nov 2021 00:00:00 +0000</pubDate>
      <guid>https://mlml.io/p/me-too-anti-network/</guid>
      <category>project</category>
      <description>From a random selection of one million #MeToo tweets, we read through all examples with more than 100 retweets. Only 8 out of the 894 tweets are actual tweets about sexual assault or experiences around the topic of #MeToo. Of the rest, the vast majority are news media posts and political (trolling) discussions, most of them neglecting the specific issues and survivor voices at the heart of the MeToo movement.</description>
    </item>
    
    <item>
      <title>Womanhouse @Kunsthaus Graz</title>
      <link>https://mlml.io/p/womanhouse-kunsthaus-graz/</link>
      <pubDate>Sun, 07 Jun 2020 00:00:00 +0000</pubDate>
      <guid>https://mlml.io/p/womanhouse-kunsthaus-graz/</guid>
      <category>project</category>
      <description>This exhibit is an installation of Womanhouse (a memory theater).
From Kunsthaus Graz:
About the exhibition
This group exhibition presents the legendary founding years (1970–1980) of the American art university ‘California Institute of the Arts’ (CalArts), which gathered numerous well-known teachers and personalities such as Allan Kaprow, Judy Chicago, John Baldessari or Alison Knowles and brought forth such artists as Mike Kelly, Stephen Prina or Suzanne Lacy.
The exhibition with the title Where Art Might Happen.</description>
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