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The NSF CAIG (Collaborations in Artificial Intelligence and Geosciences) program advances the development and adoption of innovative artificial intelligence methods to increase scientific understanding of the Earth system. It funds interdisciplinary teams of 2-3 lead collaborating Senior/Key Personnel to address cutting-edge geosciences research through AI techniques.
Research areas include Atmosphere and Geospace Sciences, Earth Sciences, Ocean Sciences, and Polar Programs. Projects must demonstrate advancement in both AI methods AND geoscience understanding — the science question must drive the work, with AI serving as the enabling method to answer previously intractable questions. The program is a partnership between NSF GEO/RISE, CISE/IIS, CISE/OAC, and MPS/DMS divisions.
Awards support researchers plus students, postdocs, and research software engineers for up to 3 years. Total competition budget is $6-10M funding 5-9 awards.
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Or search similar grants →According to the current listing, eligibility includes: US institutions of higher education (2-year and 4-year), non-profit non-academic research organizations, federally recognized Tribal Nations, and federal agencies or FFRDCs with limitations. An individual may be designated as Senior/Key Personnel on at most two proposals per competition. No voluntary cost-sharing allowed. Collaborative proposals must be submitted via Research.gov. Confirm the full requirements in the official notice before applying.
The current listing shows total program budget of $6 million to $10 million per competition, funding 5 to 9 awards. Estimated per-award funding of approximately $667,000 to $2,000,000 for projects up to 3 years in 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 Program for Climate and Earth System AI is funded by National Science Foundation. 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.
The ONR Long Range Broad Agency Announcement (N00014-25-S-B001) is the Office of Naval Research's primary mechanism for soliciting research proposals across all naval science and technology priority areas. The BAA accepts proposals on a rolling basis through September 30, 2026 and covers ONR's full spectrum of research interests with particular emphasis on AI-related topics including autonomous maritime systems, human-machine teaming, machine learning for sensor fusion, cooperative autonomous swarm technology, undersea autonomy, and AI-enabled decision superiority. Proposals can be funded through multiple mechanisms including individual investigator grants, the Young Investigator Program (~$510K over 3 years for early-career faculty), and Multidisciplinary University Research Initiative (MURI) awards ($1.5M/year for 3-5 years for research teams). ONR recommends contacting relevant program officers before submitting to discuss alignment with current research priorities. The BAA supports basic research (6.1), applied research (6.2), and advanced technology development (6.3) across the full range of naval-relevant science and engineering disciplines.
DE-FOA-0003600 is the DOE Office of Science's FY 2026 open, rolling solicitation for financial assistance, providing roughly $500 million across seven program areas: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, Nuclear Physics, and Isotope R&D and Production. AI and machine learning research is supported directly through Advanced Scientific Computing Research, while Biological and Environmental Research funds atmospheric process research, environmental systems process research, and earth-energy systems modeling — making this a major channel for AI-enhanced climate and earth system modeling work. DOE anticipates 200 to 350 new awards ranging from $5,000 to $5 million each, with project periods from six months to five years. The FOA opened September 30, 2025 and accepts applications on a rolling basis through the end of FY 2026.
GeoPEX is AFRL's standing vehicle for geospatial intelligence research and it is unusually well-suited to AI teams because the problem set - turning imagery and geospatial data into intelligence at scale - is fundamentally a machine learning problem. The BAA seeks research, development, integration, test and evaluation of technologies and techniques that provide GEOINT in all its forms and from whatever source, whether imagery, imagery intelligence, or geospatial data and information. Named focus areas include Full-Spectrum GEOINT, AI and machine learning techniques, multi-peak data production, cloud-based high-performance computing, and photogrammetry. The funding envelope is substantial and the range is wide: individual awards run USD 250,000 to USD 10,000,000 over periods normally not exceeding 36 months, against estimated total programme funding of approximately USD 99,900,000 - which means both a focused university effort and a large integrated industry programme can find a home here. Submission mechanics are the standard AFRL two-step and should be planned for accordingly: only white papers are accepted as initial submissions and formal proposals are accepted by invitation only, so the white paper is the whole competition from the proposer's perspective. Award instruments include procurement contracts, grants, cooperative agreements and other transactions, which gives flexibility on the university side. Submissions require Standard Form 424 and a Security Program Questionnaire, and awards are subject to science and technology protection requirements under AFRLI 61-113 and to FASCSA compliance. The BAA is open and continuous with white papers accepted through 30 September 2026; the BAA programme manager contact is afrl.rig.geopex@us.af.mil.
TCUP lists eight funding tracks and roughly $10.3M a year, but the October 14, 2026 deadline applies to only three of them — CHAI, Pre-TI, and TCUP Partnerships — and each carries a restriction that disqualifies most applicants. Here is the track-by-track math.
Read articleNSF 26-513 makes roughly $100 million available for up to 10 State and Regional AI Infrastructure Hubs at $4M to $12M each over five years. One award per state or multi-state region. One proposal per organization. And NSF is not buying you GPUs — it funds the coordination, the workforce and the faculty training, while the compute has to come from partners you have to already have.
Read articleAs of September 12, NSF had obligated $6.3 billion across 6,200 grants versus $8.1 billion and 8,600 last year. AHRQ has made 61 awards. Judge Allison Burroughs ordered the government to report by September 28 on whether IES will obligate $180 million before it expires. Here is what actually happens to the money on October 1 — and what it means for your FY2027 application.
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