About the challenge
This one-day hackathon invites students to build responsible, real-world AI solutions using public-interest datasets.
Participants will explore how AI systems impact society and design tools, analyses, or prototypes that are technically strong, transparent, and trustworthy.
Requirements
What to Submit
Before 5:00 PM, submit:
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GitHub repo or shared project link
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Short README (problem, approach, impact)
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2–3 minute demo-ready explanation
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Brief note on how AI tools were used (if applicable)
Projects must be explainable by your team.
Prizes
Problem Statement 1 Winner
Problem Statement 2 Winner
Problem Statement 4 Winner
Problem Statement 5 Winner
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Ryan Watkins
GW Coders/ GW Trustworthy AI
Robert Brauneis
Professor of Intellectual Property Law
Patrick Hall
Chief AI Officer, GWSB
Micah Sanders
Senior Researcher, Institute of Public Policy
Judging Criteria
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Submission Criteria
Team Presentation and Collaboration (20%): How clearly did the team present their solution? (10%) Did all team members collaborate equally in developing and presenting the solution? (10%)
Questions? Email the hackathon manager
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