This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.
Event Type
in person
136
Participants
12
Est. Projects
Want to use technology to improve how government works?
AI can transform how government delivers services, but only if the right people are building it. This is your chance.
We're hosting a hackathon for civic technologists, government practitioners, researchers, students, and anyone who wants to build tools that help government actually deliver.
Show up. Pick a problem. Ship something by the end of the night. Judges will be on hand to give feedback and pick winners.
Suggested problems to hack include:
NYC/NYS Challenges — Tackle real problems from agencies: a centralized hub to demystify NYC's civil service system (DCAS), an operations dashboard for LL97 compliance (DOB), a computer vision tool for curbside freight analytics (DOT), an automated tracking system for affordability commitments (HPD), tools to improve transit reliability. There's a lot to do just here in the Big Apple. Service Delivery — Build agents and tools for eligibility prescreening, application support, and caseworker assist on changing policy (e.g., HR1); permitting and construction; or helping small businesses navigate incentives, loans, and grants. Open Track — Bring your own problem. If it makes government work better, it counts.
Brought to you by the folks who built the State Capacity Ecosystem Hub (State Capacity Ecosystem — NYCuriosity Data), the team from Civic Roundtable, and the CUNY Public Interest Technology (PIT) Lab with the simple goal of driving good talent to real problems.
Judge Accessibility
Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10
Top signals
Organizer email available
Student-run event
Actively looking for judges
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Estimated Audience
Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech
Technical Focus
AI95%
Web80%
Mobile25%
Industries
Healthcare
Education
Climate
Technologies
Python
React
OpenAI
Why this estimate
• Hosted by a university
• Open to students
• MLH member event
Estimate inferred from event metadata, not actual attendee data.