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THE AYSC CLIMATE HACKATHON 2026

lumaHosted on Luma

Fetched about 5 hours ago

Monday, June 22, 2026

to Wednesday, June 24, 2026

•

2 days long

Climate TechArtificial IntelligenceFintech

Event Type

in person

257

Participants

23

Est. Projects

The Climate Hackathon is a core, action-oriented component of the conference, aligned with the Climate & Green Economy track while integrating elements from Digital Innovation and Entrepreneurship. It brings together young innovators to co-create practical, scalable solutions addressing pressing environmental challenges such as renewable energy, climate resilience, waste management, and sustainable urban development. Working in teams with expert mentorship, participants will design and prototype solutions with real implementation potential,emphasizing innovation, feasibility, and job creation. The hackathon prioritizes execution and impact, ensuring that winning ideas have clear pathways toward real-world deployment and scale.

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