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The NIH AIM-AHEAD (Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity) program establishes partnerships to increase participation of underrepresented researchers in AI/ML development and enhance AI capabilities for addressing health disparities.
The program funds small-scale research projects co-led by community-based organizations and academic institution researchers using community-based participatory research (CBPR) approaches. Projects advance AI/ML capacity building for communities across the US, enhance community stakeholder understanding of AI/ML methods, and build capacity for community engagement in AI/ML research.
Hub-specific projects support multiple research hubs nationwide. The consortium is funded through NIH Agreement OT2OD032581 and operates through the Office of Data Science Strategy.
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Or search similar grants →According to the current listing, eligibility includes: Academic institutions, community-based organizations, and research teams at institutions underrepresented in AI/ML research. Projects must be co-led by community-based organization leaders and academic researchers. Applicants must budget for attendance at Hub Annual and AIM-AHEAD Consortium Annual meetings. Confirm the full requirements in the official notice before applying.
The current listing shows up to $150,000 per community-based research project. Total program funding approximately $75 million over multiple years. Verify award ceilings, matching requirements, and allowable costs in the official notice.
NIH AIM-AHEAD AI/ML Consortium to Advance Health Equity and Researcher Diversity is funded by National Institutes of Health (NIH). 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).
The NSF Convergence Accelerator is a grant from the National Science Foundation (NSF) that funds multidisciplinary teams working to solve national-scale societal challenges through convergence research and innovation. Launched in 2019 under NSF's Directorate for Technology, Innovation and Partnerships, the program operates in two phases: Phase 1 awards are up to $750,000, with successful teams advancing to larger Phase 2 awards. Eligible applicants include institutions of higher education and nonprofit or for-profit organizations. Track I and Track K focus on specific high-priority topics announced each funding cycle. The next deadline is June 15, 2026. Proposals must comply with updated NSF research security policies effective July 2025.
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.
OMB's proposed rewrite of 2 CFR Part 200 would bar political appointees from deferring to peer reviewers and require senior-appointee sign-off on every discretionary grant. NIH new awards are already down about 34% in 2026. Here is what the merit-review changes actually say, how 'Gold Standard Science' becomes a scoring lever, why R1 universities are being written out of some solicitations, and what principal investigators and research offices should do before October 1.
Read articleNIH's June 1 omnibus reset added Direct-to-Phase II to the STTR program for the first time. The change compresses university spinouts' funding timeline from three years to fifteen months, but the 30% research-institution subaward, feasibility-evidence rules, and IP licensing mechanics are not yet sorted at most universities.
Read articleNIH committed $402 million across 601 multiyear-funded grants in the first eight months of FY 2026 — more than four times the pace of two years ago. The mechanism front-loads obligations into a single fiscal year, leaving less budget for new project starts and squeezing FY 2026 success rates. What researchers and institutions should be doing now.
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