We're excited to announce that the 5th annual Rice Datathon, will occur on January 27-29, 2023, as a physical-first hybrid in Duncan Hall! We're proud to invite students from the Houston area, especially Prairie View A&M, Texas Southern University, Houston Community College, and the University of Houston, to compete in the Datathon this year!
We'll have exciting datasets and challenges for you to work on, recruiters and representatives from top companies, tens of thousands of dollars in prizes and raffles, and amazing food and merch! Various workshops will also be available for you to participate in before the Datathon to prepare for the competition. See more information on our website!
Requirements
Include a description of your project, a 3-minute (max) video showcasing it, and a link to the project's GitHub repository (remember to make it public!) with all your code and files. Remember to include your data sources if you're competing in the open challenge.
Prizes
Best Visualization
First Place Overall
Second Place Overall
Third Place
Honorable Mention
Beginner's Track
Best Underclassmen Team
Teams composed entirely of freshmen and sophomores.
Best Social Impact
Best Houston/Texas-Related
Best Visiting Team
Bill.com Track
Chevron Track
BakerRipley Track
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Su Chen
Rice University
Xin Tan
Rice University
Arlei Silva
Rice University
Xinjie Lan
Rice University
Arjun Kannan
Sai Tarun Kaniganti
Girri Palaniyapan
Ricardo Fernandez
Bill.com
Michael Price
Bill.com
Anna Cowan
Chevron
Dessy Akinfenwa
Chevron
Michael Perrin
Chevron
David Thanoon
Shell
Srimoyee Bhattacharya
Shell
Xin Lu
Shell
Erika Lyles
BakerRipley
Tommy Holstien
BakerRipley
Ben Peters
BakerRipley
david thanoon P.
Shell
Andre Silva
Srimoyee Bhattacharya
Xin Liu
Judging Criteria
-
1. Data Wrangling
How do you collect, clean, and manipulate the data to make sure the final data used in the model is clean? Additional marks for large/complex/difficult-to-obtain datasets. -
2. Visualization
How do you present your work through clear and effective visualization to help the audience understand the model? -
3. Analysis
How Innovative is your analysis? Is your model generating the most value from the data that's given to you? -
4. Technical Skills & Completeness
Does your work use innovative and appropriate models, methodologies, or approaches? To what extent have you completed your work given the limited time? -
5. Practical Impact (Bonus)
How your work has a practical impact in the real world, that someone else might use your work to generate other positive impacts? What is the potential market effect (practical value)?
Questions? Email the hackathon manager
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