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Greentown Labs x TEDxHarvard Square Climate AI Hackathon

lumaHosted on Luma

Fetched 1 day ago

Thursday, May 14, 2026

to Thursday, May 14, 2026

Climate TechArtificial IntelligenceFintech

Event Type

in person

82

Participants

7

Est. Projects

Join us for a full-day hackathon at Greentown Labs, bringing together founders, engineers, researchers, and operators to build at the intersection of climate tech and AI. πŸ›  Schedule Overview 9:00 AM – Kickoff & Opening Remarks9:30 AM – Challenge Announcements9:45 AM – Networking, Coffee & Team Formation10:30 AM – Hackathon Begins12:00 PM – LunchAfternoon – Continue BuildingLate Afternoon – Project Submissions DueFinale – Top 3 Teams Pitch (2–3 minutes each)Closing Remarks – Greentown Labs & TEDxHarvard Square πŸš€ Who Should Attend Builders interested in climate tech + AIFounders, students, engineers, designers, and operatorsAnyone excited about solving real-world climate challenges through technology Come ready to build, collaborate, and push the boundaries of what’s possible.

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

  • β€’ Hosted by a university
  • β€’ Open to students
  • β€’ 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