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Project ProtoStar opens first challenge November 2

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Project ProtoStar opens first challenge November 2

3 Key Points

  1. What happened

    Project ProtoStar, founded by Carnegie Mellon, Purdue, Georgia Tech, Arizona State and George Washington University through OFAI, plus the Astera Institute, Hugging Face and ORCA, opens its first challenge November 2 — forecasting climate conditions for 210 U.S. cities.

  2. Why it matters

    The initiative aims to make publicly funded research easier to discover and reuse, and the first challenge will test whether AI models can beat simple statistical baselines at predicting urban climate conditions.

  3. What to watch

    Final forecasting results from the CMU-hosted challenge will be published in early 2027, once complete 2026 weather records are available.

WHO IT HITSUniversity research offices and federally funded labs that must share data under public-access rules stand to gain practical guidance and open infrastructure for releasing datasets, models and code in reusable formats.

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Context & Analysis

Project ProtoStar arrives as federal policy increasingly expects publicly funded research to be shared. Agencies such as the National Institutes of Health and the National Science Foundation have strengthened public-access requirements, and Hugging Face is among the ten generalist repositories listed by NIH for sharing research data. The initiative's founding partners span five universities working through the Open Forum for AI, plus the Astera Institute, Hugging Face as infrastructure partner, and the Open Research Community Accelerator through its Fostering Innovation Network. Participating organizations formalize their involvement through a memorandum of understanding supporting the release of suitable scientific datasets, models and code on open infrastructure.

The gap ProtoStar targets is not availability but usability. Scientific datasets, models and code are often scattered across incompatible systems, stored in static or legacy formats, or released without the documentation, metadata and provenance needed to understand and reuse them. Hugging Face already hosts more than 17,000 public datasets across core scientific domains, approaching 29,000 when medicine and mathematics are included, and researchers shared more than three times as many new science datasets in the first nine months of 2026 as in the same period of 2025. Documentation matters: 90% of dataset downloads on Hugging Face are from fully documented datasets.

The challenge series is designed to build an evidence base. Each challenge is hosted by a participating institution around resources it has released openly, with two goals: demonstrate scientific reuse and learn what makes reuse possible. The first, hosted by Carnegie Mellon University from November 2–13, 2026, asks teams to forecast four urban climate indicators for 210 U.S. cities using records through 2018 and to propose a short climate adaptation policy idea. Forecasting performance will be assessed on a public leaderboard against simple statistical baselines, and final results will be published in early 2027 once complete 2026 weather records are available. Future challenges will be announced through the Project ProtoStar page on Hugging Face.

FAQ
What is the first Project ProtoStar challenge about?
Hosted by Carnegie Mellon University from November 2–13, 2026, it asks participants to use historical weather data from 210 U.S. cities through 2018 to predict actual conditions from 2019 to 2026.
Who can join Project ProtoStar?
Academic researchers, students, independent developers, companies, universities, federal research agencies, national laboratories and nonprofits can reach out to protostar@orcaopen.org to explore participation.
How much does the U.S. government spend on research and development?
The U.S. federal government invests approximately $190 billion annually in research and development, and federal policy increasingly expects the results to be shared publicly.
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