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"NSF Collaborations in Artificial Intelligence and Geosciences (CAIG) for AI-Enabled Breakthroughs in Earth System, Climate, Weather and Ocean Science" is currently closed and not accepting applications.
CAIG is NSF's dedicated bridge between the AI community and the geosciences, and it is unusually explicit that a proposal must deliver on both sides of that bridge rather than simply applying an off-the-shelf model to Earth data.
Solicitation NSF 25-530 requires every proposal to address three things: how the work advances scientific understanding of the Earth system, how it introduces novel or sophisticated AI methods that overcome a genuine research bottleneck, and how the partnership itself is structured.
That third requirement is the distinguishing feature - proposals must feature two to three lead collaborators who between them cover geoscience and AI, mathematics, statistics or computer science expertise, and must describe concrete cross-training mechanisms for students and researchers so that the collaboration outlasts the grant.
The scientific territory is broad: climate modeling, weather prediction, ocean and atmospheric science, environmental monitoring and Earth observation all fall within scope, and the program is jointly run by the Geosciences, CISE and Mathematical and Physical Sciences directorates, which shapes how panels are assembled.
Scale is moderate by NSF standards - 5 to 9 awards from a $6M-$10M pool per competition, over up to three years - so this is a team-of-two-or-three program rather than a center. A hard constraint worth checking before you plan: an individual may be Senior/Key Personnel on at most two proposals per competition, and NSF states this is strictly enforced.
The February 4, 2026 deadline for the cycle documented here has passed; CAIG has run annual competitions (April 2, 2025 and February 4, 2026), so a further cycle is plausible but unannounced.
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Or search similar grants →According to the current listing, eligibility includes: Proposals may be submitted by U.S. institutions of higher education including two- and four-year colleges and community colleges, U.S.-based non-profit non-academic research organizations, federally recognized Tribal Nations, and federal agencies and FFRDCs subject to restrictions in the solicitation. Proposals must feature two to three lead collaborators spanning geoscience and AI/mathematics/statistics/computer science expertise, and must include mechanisms for cross-training students and researchers across the participating disciplines. An individual may be designated as Senior/Key Personnel on at most two proposals per competition and NSF states this limit is strictly enforced. Awards are Standard or Continuing Grants for up to three years, with 5 to 9 awards anticipated per competition from an estimated $6,000,000 to $10,000,000 pool. The full-proposal deadline for the cycle documented here was February 4, 2026, which has passed; a prior cycle closed April 2, 2025. No per-award budget ceiling is published in the material reviewed. Applicants must read the full solicitation NSF 25-530 at nsf.gov and confirm the next deadline, the current eligibility text, PI restrictions and budget guidance before preparing a submission. Confirm the full requirements in the official notice before applying.
The current listing shows NSF estimates $6,000,000 to $10,000,000 in total funding per competition across 5 to 9 awards, with project durations of up to three years. The solicitation does not publish a per-award ceiling, so amount_min of 667,000 and amount_max of 2,000,000 are derived by dividing the published total range by the published award count ($6M across 9 awards at the low end, $10M across 5 awards at the high end). These are inferred per-award figures, not NSF-stated limits, and individual budgets will vary with team size and duration. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was February 4, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
NSF Collaborations in Artificial Intelligence and Geosciences (CAIG) for AI-Enabled Breakthroughs in Earth System, Climate, Weather and Ocean Science is funded by U.S. National Science Foundation (NSF), Directorate for Geosciences in collaboration with the Directorate for Computer and Information Science and Engineering and the Directorate for Mathematical and Physical Sciences. 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.
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