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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.
Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is sponsored by National Science Foundation (NSF) & National Institutes of Health (NIH). This interagency program supports high-risk, high-reward advances in AI and data science for biomedical and public health research. Projects must cross disciplinary boundaries.
NIH R25 Summer Research Education Experience Program is a grant from the National Institutes of Health (NIH) that funds universities and institutions of higher education to provide summer research experiences in environmental health sciences to high school students, college undergraduates, and science teachers. Administered through the National Institute of Environmental Health Sciences (NIEHS), the program aims to attract young people to scientific careers and help teachers communicate about the scientific process more effectively. Eligible applicants are U.S. institutions eligible for NIH grants. The application deadline was March 17, 2026.
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 AI3 Action Institute is a federal effort to build dedicated AI capacity within Native communities rather than fund a single applied AI project. The awardee establishes and operates an AI resource hub for Native communities, providing technology information, facilitating information sharing and technology deployment across tribal and Native-serving organizations, and conducting stakeholder engagement and coalition building across industry, government and academic sectors. Notably, allowable costs cover short-to-medium-term staff costs including the Institute's director as well as facility setup - a recognition that the binding constraint in this space is institutional infrastructure and staffing, not project ideas. The financial structure is the detail that most shapes strategy: with a $2,500,000 floor, a $3,500,000 ceiling and $3,500,000 in total expected program funding across a three-year period, this is effectively a single-award competition, so applicants should assume they are competing for the entire program rather than for a slot in a cohort. Eligibility is restricted to Native-serving entities - federally recognized Indian tribes, incorporated non-federally or state-recognized tribes, consortia of Indian tribes, Native community-based organizations, Urban Indian Organizations, Alaska Native villages and entities, Native Hawaiian serving agencies, Native Pacific Islander serving agencies, and tribal colleges and universities. That eligibility list is broader than many ACF opportunities, extending to Native Hawaiian and Pacific Islander serving agencies as well as tribal entities. Applicants should expect the strongest proposals to combine an existing convening role in Native technology or education with a realistic plan for standing up durable staff capacity within the grant period, since a hub that dissolves when funding ends would not serve the program's purpose. The deadline is August 27, 2026, and applications are submitted through Grants.gov under opportunity number 362270.
The NIH Extramural Loan Repayment Program pays up to $50,000 a year against educational debt at roughly a 50% success rate — better odds than almost any NIH research grant. For FY2027 the six extramural subcategories collapse into three: L30, L40, and L70. Applicants who would have used L32, L50, or L60 must now pick a new lane. Here is the crosswalk, the 20% debt-to-salary rule, and why the consolidation changes how you frame the research.
Read articleNOT-OD-26-098 bars K award funds from supporting clinical trials, feasibility studies, and ancillary studies for due dates on or after October 12, 2027, and retires the Independent Clinical Trial Required K NOFOs. NIH has no replacement mechanism yet — only an RFI closing September 30, 2026. Here is what the policy actually says, who it hits, and how to sequence around it.
Read articleNIH proposed on August 14 to withhold overall impact scores and percentiles from applicants, replacing them with three bands: Most competitive, Competitive, Not discussed. Paylines already vanished in January. Here is what applicants actually lose, what survives in the summary statement, and how to rebuild a resubmission decision rule without a number.
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