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OneGov AI Hackathon Series - Edition #2

hackjunctionHosted on HackJunction

Fetched 1 day ago

Thursday, June 4, 2026

to Friday, June 5, 2026

•

1 day long

Artificial IntelligenceMachine LearningInnovationNetworkingCommunity

Event Type

in person

OneGov AI Hackathon Series - Edition #2 Welcome to Edition #2 of the OneGov AI Hackathon Series - the national hackathon where public-sector challenges meet the creativity of developers, designers, researchers and innovators. Following the success of our first edition, we're once again bringing together a diverse community to prototype solutions that strengthen the digital government. Over two days, multidisciplinary teams will collaborate on real-world challenges provided by public organisations and GovTech partners. What to expect - A fast-paced, hands-on hackathon focused on solving societal and governmental challenges - Access to datasets, APIs, tools and domain experts - Challenge briefs designed around public-sector impact - Mentorship and guidance throughout the event - An open and collaborative atmosphere where both technical and non-technical participants can contribute Who can join Anyone with curiosity and motivation, whether you're a dev

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