Event - Workshop
Scientific-MOOD FAIR Challenge Hackathon
Dec 12, 2025
Hosted By:
NEON, ESIIL, Imageomics Institute, CyVerse, iHARP
NEON, ESIIL, Imageomics Institute, CyVerse, iHARP
Register to join an in-person hackathon event in Boulder, CO on Dec 12 & 15, for the Harnessing the Data Revolution (HDR) Machine Learning (ML) Challenge - Scientific Modeling out of Distribution (Scientific-MOOD).
This two-day event will provide an introduction to the NSF Harnessing the Data Revolution (HDR) Machine Learning Challenge, including a venue to form a team and get started with a submission.
The event will include a "main" day (Friday, Dec. 12) and an optional "working" day (Monday, Dec. 15). The main day will include presentations on each of the three benchmarks used for this year's challenge, an overview of the Codabench platform, an overview of CyVerse compute resources that will be available to participants, and a code-along session to demonstrate how to create a submission for the challenge. All the remaining time will be dedicated to team formation and trying out the challenge, all with organizers available to answer questions.
Challenge goal: Predict out of domain events, actions, and climactic conditions using open scientific data.
Learn more about the HDR ML Challenge here and prize information here.
Note on experience: This event is intended to bring together participants with varied areas of expertise (e.g., computer science, environmental science, biology, etc.) for an interdisciplinary problem solving challenge. Some coding experience (e.g., Python, R, etc.) is recommended, but this event is open to participants from any career stage (e.g., students, postdocs, researchers, faculty, private sector scientists and developers, etc.) and background.
Event Details:
Location: SEEC Building, University of Colorado Boulder East Campus. Register for full event details.
This event is being organized by:
Boulder, CO
United States