Hugging Face launches ProtoStar to make public research AI-ready
Hugging Face announced Project ProtoStar, an initiative to improve access to publicly funded scientific research for AI use. The project brings together universities, research organizations, and industry to standardize datasets, models, and code in machine-actionable formats. Founding partners include Carnegie Mellon University, Purdue University, Georgia Institute of Technology, Arizona State…
Key points
- First challenge tests AI climate predictions using **210 U.S. cities’ historical weather data**
- Hugging Face hosts **17,000+ public science datasets**, with **11M+ downloads** from NIH repositories alone
ProtoStar’s first challenge, hosted by Carnegie Mellon University, begins November 2 and tasks participants with using historical weather data from 210 U.S. cities to predict urban climate conditions from 2019–2026. Teams will compete to improve forecasting accuracy for metrics like temperature, precipitation, and cooling demand. Winners will publish results on Hugging Face, with final evaluations expected in early 2027. The project aims to demonstrate how standardized, open science can accelerate AI-driven discovery while addressing gaps in documentation and infrastructure.
Announcing Project ProtoStar: Making Publicly Funded Science AI-Ready
Hugging Face · 29 October 2026
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