Ship a credible prototype for measurable social good
Hybrid · Social · Hosted by UN Youth Mongolia × OyuLink
A social innovation sprint to build digital solutions with clear impact for youth, NGOs, and local communities.
Youth groups, NGOs, and local communities in Mongolia face many small but persistent frictions in service access, information flow, and civic participation. This hackathon is about building credible prototype solutions that use AI, automation, and applied data to reduce those frictions.
Teams may focus on education access, mental health support, civic participation, inclusive public services, or climate resilience. Judges will look beyond ideas alone and score for user closeness, evidence of impact, and a prototype that could realistically be piloted.
Registration
Aug 1–20
Problem framing
Aug 22–28
Build sprint
Aug 29 – Sep 10
Submission
Sep 12, 23:59
Finals & pilot
Sep 19
Total prize pool
All teams must disclose their AI usage, external APIs, and any pre-existing datasets or models they rely on.
Pre-existing code is allowed, but the core value creation, user research, and product iteration should happen during the challenge period. Final IP and pilot conditions are governed by the official registration terms.
Confirm full rules and IP terms on the official registration site.
Cash
Cash
Cash
AI tools that help young people access jobs, mental health support, and trusted information faster.
Judging focus
User closeness and pilot feasibility.
Track sponsor
UN Youth Mongolia
Products that make feedback loops, budgeting, and public-service information easier to understand and act on.
Judging focus
Trust, clarity, and accessibility.
Track sponsor
OyuLink
Data products that improve local risk awareness, climate response, and coordinated community action.
Judging focus
Evidence quality and operational realism.
Track sponsor
UNDP Mongolia
Team format
Teams of 2-5. Cross-functional teams with builders, designers, researchers, or policy-minded members are strongly encouraged.
Who can join
University students, early-career professionals, and mission-driven community teams may apply.
Open source and ethics
Teams must clearly disclose training data, AI usage, and foreseeable risks in their submission.
How winners are chosen: Expert panel
Trust and ethics
10%
Storytelling
10%
World-class mentors and judges from academia and industry.
Director of Social Innovation, UNDP Mongolia
Product Lead, OyuLink
Data & AI Strategist, UNICEF partner network
Civic Designer, OpenGov Lab
A. Batkhishig
Service design mentor
Kh. Solongo
AI safety advisor
M. Tselmeg
Community research coach
Generative AI disclosure
If you use LLMs, speech, OCR, recommender systems, or other AI services, include a short note on model choice, input data, and safeguards.
Workshops & schedule
Data & APIs
Empowered by global partners
