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IGAD Hackathon 2026: Smarter Early Warning, Stronger Communities

devpostHosted on Devpost

Fetched 15 days ago

Monday, June 22, 2026

to Friday, July 31, 2026

•

1 month long

Data ScienceWeb DevelopmentArtificial Intelligence

Event Type

in person

176

Participants

$10,000

Prize Pool

15

Est. Projects

The world is facing increasingly complex challenges, from climate extremes and disasters to food insecurity, health emergencies, and humanitarian crises. As risks become more interconnected, the ability to anticipate, prepare for, and respond effectively has never been more important. The IGAD Hackathon 2026 brings together developers and innovators to reimagine the future of early warning and early action. Participants are invited to develop innovative solutions that improve how information is generated, communicated, understood, and transformed into timely action.

Whether through mobile applications, geospatial technologies, data analytics, communication platforms, artificial intelligence, community engagement tools, or entirely new approaches, participants are encouraged to think boldly and create solutions with real-world impact.

This is more than a competition, it is an opportunity to contribute ideas that can help strengthen resilience, support decision-making, and improve outcomes for communities across the region.

Sponsors

IGAD Climate Predictions and Applications Centre (ICPAC) image

IGAD Climate Predictions and Applications Centre (ICPAC)

www.icpac.net

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