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FY 2027 - Super Intelligence/Machine Learning Innovation to Advance NOAA's Earth System Science and Support Hazard Resilience is sponsored by NOAA Office of Oceanic and Atmospheric Research (OAR) - Climate Program Office (CPO).
This funding opportunity solicits proposals to accelerate innovation in NOAA's Earth system science and improve hazard resilience—specifically empowering communities against climate-relevant extreme hazards, including wildfires, heat, floods, and related air quality issues—through the application of super intelligence and machine learning (SI/ML).
Note: While this specific competitive grant call is open to broader extramural research institutions (such as non-profits, institutions of higher education, and for-profit organizations depending on track specifications), small businesses looking for NOAA-driven weather innovation funding should carefully verify track eligibility in the full announcement text.
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Or search similar grants →According to the current listing, eligibility includes: Institutions of higher education, non-profit organizations, for-profit organizations, state and local governments, and Indian tribal governments. Small businesses are eligible to apply as for-profit entities. Confirm the full requirements in the official notice before applying.
The current listing shows up to $750,000 ceiling per award. Verify award ceilings, matching requirements, and allowable costs in the official notice.
FY 2027 - Super Intelligence/Machine Learning Innovation to Advance NOAA's Earth System Science and Support Hazard Resilience is funded by NOAA Office of Oceanic and Atmospheric Research (OAR) - Climate Program Office (CPO). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Past winners and funding trends for this program
NOAA-OAR-CPO-2027-33392, posted October 27, 2026, funds up to 15 awards of mostly up to $250,000 per year for one to three years. Three CPO programs (MAPP, Adaptation Sciences and NIHHIS) are jointly soliciting AI and machine learning work on decadal prediction, hazard decision support and extreme heat. Two-page LOIs are due November 17, full applications February 9, 2027. Scoring weights, eligibility, the eRA Commons trap, and how to position a proposal.
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