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The USDA NIFA Agriculture and Food Research Initiative (AFRI) Data Science for Food and Agricultural Systems (DSFAS) program funds research at the intersection of data science and artificial intelligence with agriculture, harnessing AI across the food supply chain.
Supported activities include machine learning, data visualization, natural language processing, intelligent decision support systems, and autonomous systems, spanning agricultural systems and engineering (crop and soil monitoring, autonomous harvesting, pathogen detection), natural resources and environment (decision support for soil health and ecosystem services), and agricultural economics and rural communities.
Standard grants are capped at $650,000 over up to five years, with roughly $7-7. 6 million invested annually; the FY27 RFA is expected to open in late summer 2026.
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Or search similar grants →According to the current listing, eligibility includes: Open to U.S. colleges and universities, other research institutions and organizations, federal agencies, national laboratories, private organizations or corporations, and individuals, per the AFRI Foundational and Applied Science RFA eligibility. Applications must fall under regular DSFAS or DSFAS Coordinated Innovation Network project types. Confirm the full requirements in the official notice before applying.
The current listing shows individual standard grants capped at $650,000 over project periods of up to five years. NIFA invests approximately $7-7.6 million annually in the DSFAS program. Verify award ceilings, matching requirements, and allowable costs in the official notice.
USDA NIFA AFRI Data Science for Food and Agricultural Systems (DSFAS) Artificial Intelligence Program is funded by USDA National Institute of Food and Agriculture (NIFA). 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 NSF Computer and Information Science and Engineering: Future Computing Research (Future CoRe) program (NSF 25-543) supports foundational computing research and education with a strong emphasis on AI and machine learning. The program funds research that advances the foundations of computing including AI/ML theory, algorithms, systems, and applications. Future CoRe supports small to medium-sized research projects that can have significant impact on computing foundations. The program has target dates of February 5, 2026 and September 10, 2026 for proposal submissions (note: these are target dates, not deadlines, meaning proposals may be submitted at any time but will be reviewed in batches around these dates). Investigators may not serve as PI, co-PI, or Senior/Key Personnel on more than two proposals submitted within any consecutive 12-month period across all Future CoRe programs. This is one of NSF's primary mechanisms for funding fundamental AI and machine learning research at U.S. academic institutions, covering areas such as machine learning theory, natural language processing, computer vision, robotics foundations, and human-AI interaction.
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.
USDA-NIFA-HEP-011737 puts $14 million behind roughly 28 awards of up to $705,000 for graduate fellowships in food and agricultural sciences. No match is required. But two eligibility rules — the new-graduate-student definition and the citizenship requirement — disqualify most of the students a department would naturally nominate.
Read articleNIFA's Hispanic-Serving Institutions Education Grants Program (USDA-NIFA-HSI-011903) posted September 10, 2026 with $30.6 million, 40 anticipated awards, and a December 3 deadline. It uses the same 25 percent enrollment definition the Justice Department has declined to defend at the Department of Education. Here is the structure, the three grant types, and the caps that decide who wins.
Read articleNIFA's FY2026 Higher Education Challenge program closes October 15, 2026 with $5.7 million and roughly 18 awards. Standard grants cap at $150,000, Collaborative Type 1 at $300,000, and Collaborative Type 2 at $750,000 — all from the same pool, all scored against each other. No match is required. Here is how the tier structure actually determines your odds.
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