Dates

  • 20th Sept 2025: 9AM to 6PM
  • 21st Sept 2025: 9AM to 2PM
  • Venue: Cornell Tech, Roosevelt Island, NYC

Eligibility

All age groups and backgrounds are eligible for this hackathon. Participants are required to be present in-person for the event and can form their own teams.  

Project and Submission Requirements

  • Use at least one proprietary dataset and at least one open source dataset relevant to your challenge (e.g., urban heat index, AQI, generator fuel logs, waste volumes, or claims patterns).

  • Prototype must be runnable (containerized app, notebook + API stub, or deployed demo).

  • Evidence of utility: back-test on historical events, simulate a surge, or run a facility scenario.

  • Team composition: at least 2 disciplines represented.

  • Original work created during the hackathon (prior libraries are OK; please disclose).

  • Compliance with all data-use rules and venue policies.

Prizes

To be announced soon (exciting big prizes to be won!)

Judging Criteria and Rubric

Criteria

Description

Points

Innovation

Is the idea novel, creative, or unique in approach to solving a climate-health problem?

/3

Use of AI, Data and Digital Tech

Was the solution built using the provided (or relevant) datasets and/or AI tools and frameworks?

/4

Feasibility

Is the solution realistic and actionable, given existing constraints?

/3

Impact

Does it have the potential to improve health outcomes or increase resilience to climate risks?

/5

Team Composition

Is the team interdisciplinary and collaborative in approach? 

/4

Scalability Potential

Can the idea be expanded beyond the pilot phase? Could it be implemented at scale?

/3

Code of Conduct

We are committed to providing a safe, inclusive, and collaborative environment for all participants. By joining this hackathon, you agree to:

  • Be respectful — Treat all participants, mentors, organizers, and judges with courtesy. Discrimination, harassment, or disrespectful behavior will not be tolerated.

  • Collaborate openly — Share knowledge, support others, and give credit where it’s due.

  • Use data responsibly — Follow all data use agreements, respect privacy, and never attempt to re-identify individuals in de-identified datasets.

  • Keep it professional — Focus discussions and projects on the hackathon themes; disruptive or offensive content is not acceptable.

  • Honor teamwork — Contribute fairly, respect team decisions, and resolve conflicts constructively.

Any violations may result in removal from the event at the organizers’ discretion.

If you experience or witness any issues, please report immediately via the #questions Slack channel or reach out to one of the co-organizers: Chethan Sarabu, Seema Wadhwa or Rishabh Surendran