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The NSF Collaborations in Artificial Intelligence and Geosciences (CAIG) program (NSF 25-530) funds interdisciplinary research teams that advance Earth system science through innovative AI methods.
Jointly managed by NSF's Directorate for Geosciences (GEO/RISE), Division of Information and Intelligent Systems (CISE/IIS), Office of Advanced Cyberinfrastructure (CISE/OAC), and Division of Mathematical Sciences (MPS/DMS), the program supports projects that push the boundaries of both geoscience and AI. Each competition allocates $6 million to $10 million across 5-9 awards for projects lasting up to 3 years.
Funded projects must demonstrate three core objectives: advancing geoscience research through AI, making impactful advancements in AI methodologies applicable to geosciences, and forming meaningful interdisciplinary partnerships involving diverse teams of 2-3 lead senior/key personnel. The solicitation covers both a 2025 and 2026 competition, with the 2026 full proposal deadline of February 4, 2026.
The program supports work in climate modeling, weather prediction, ocean science, atmospheric science, and other geoscience domains where AI can enable significant breakthroughs. Future competition cycles are anticipated under subsequent solicitations.
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Search similar grants →According to the current listing, eligibility includes: U.S. academic institutions. Proposals require interdisciplinary teams of 2-3 lead senior/key personnel combining geoscience expertise with AI, mathematical sciences, or computer science expertise. Standard NSF eligibility rules apply. Submissions must explicitly address geosciences advancement, AI impact, and partnership development. Confirm the full requirements in the official notice before applying.
The current listing shows $6 million to $10 million allocated per competition cycle across 5-9 awards. Individual awards average $1-2 million over up to 3 years. 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-Driven Earth System Science 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 FY2026 Department of Defense Multidisciplinary University Research Initiative (MURI) program supports basic research in science and engineering at U.S. institutions of higher education, with emphasis on multidisciplinary research where more than one traditional discipline interacts. The Army, Navy, and Air Force basic research offices are seeking applications across 22 topic areas including artificial intelligence and autonomy, information sensing and processing, and systems manipulation. MURI grants typically provide $1.25 million to $1.5 million per year for three years with option to extend two additional years. Approximately $170 million in total funding is available annually across all topics. The program is administered through the Office of Naval Research (ONR), Army Research Office (ARO), and Air Force Office of Scientific Research (AFOSR).
Autonomous Robotic Assembly of Expeditionary Airfield Matting is a grant from the U.S. Department of Defense / Air Force Research Laboratory that funds research and development of autonomous robotic systems capable of rapidly assembling expeditionary airfield matting in contested environments. The program seeks solutions to automate the labor-intensive process of laying aluminum matting for temporary runways, reducing personnel exposure and accelerating airfield construction timelines. Eligible applicants include small businesses through SBIR mechanisms, as well as research institutions and defense contractors. The initiative targets autonomous ground robotics, computer vision, and AI-driven planning systems capable of operating under adverse conditions.
The USDA Specialty Crop Research Initiative (SCRI) 2026 provides $175 million in annual funding for research addressing the needs of the specialty crop industry, with a groundbreaking new $20 million set-aside for mechanization and automation research. For the first time, the SCRI Notice of Funding Opportunity explicitly funds AI-driven automation technologies to help specialty crop growers reduce labor costs, which have been among the most persistent financial pressures in fruit, vegetable, tree nut, and horticulture production. Priority areas include data-driven predictive tools using artificial intelligence, robotics, sensor technologies, precision agriculture, improved mechanization technologies that delay or inhibit ripening, decision support systems, management of quarantine pests, and cybersecurity for agricultural systems. The funding increase was enabled by the Working Families Tax Cuts legislation, more than doubling the previous SCRI budget from $80 million to $175 million per year. Applications are due by 5:00 PM Eastern Time on June 15, 2026. This represents the largest federal investment specifically targeting AI and automation in specialty crop agriculture.
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