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State Capacity AI Hackathon

lumaHosted on Luma

Fetched about 5 hours ago

Wednesday, June 24, 2026

to Thursday, June 25, 2026

•

4 hours long

Artificial IntelligenceData ScienceFintech
Student only
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.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct