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Find similar grantsGrants Advancing Community-Led AI Research to Improve Health is sponsored by Various (Community-Led Initiative) - AIM-AHEAD Hub-Specific Projects. This initiative funds AI/ML research to enhance health outcomes for diverse populations, engaging nonprofits, academic institutions, and private entities.
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AIM-AHEAD Hub-Specific Projects AIM-AHEAD Hub-Specific Projects The AIM-AHEAD Hub-Specific Projects program was developed to advance the conduct of community-based participatory research (CBPR) using AI/ML to address and reduce challenges to healthcare. Northeast Hub Writing Retreat Advance Community-Based AI/ML Research Support projects using AI/ML to address real-world healthcare challenges.
Strengthen Community Research Leadership Promote community participation and leadership in AI/ML research initiatives. Generate Data for Future Research Produce preliminary findings that support larger-scale NIH grant applications.
AIM-AHEAD Hub Specific Projects This funding opportunity supported new stakeholders in AIM-AHEAD regional hubs to conduct small-scale research projects co-led by community-based organizational leaders and researchers from academic institutions.
Geographical Distribution of Awardees by Institution Distribution of Year 2 Awardees by Hub Distribution of Year 3 Awardees by Hub AIM-AHEAD Hub Specific Projects Cohorts 2 & 3 of the AIM-AHEAD Hub-Specific Projects program have established and facilitated sustainable efforts enhancing community leadership in AI/ML research in order to accelerate the dissemination of study findings back to communities, and generate preliminary data to enhance the competitiveness of future larger-scale community-engaged NIH grant applications for AI/ML research applications.
Have a question? Reach out to us by creating a Helpdesk ticket. Bettina Beech, DrPH, MPH; Evelinn Borrayo, PhD; Alejandra Casillas, MD, MSHS; Harlan Jones, PhD; Spero Manson, PhD; Keith Norris, PhD; Anil Shanker, PhD; Herman Taylor, MD, MPH
According to the current listing, eligibility includes: Nonprofits, academic institutions, and private entities, with a focus on projects co-led by community-based organizational leaders and researchers from academic institutions. Confirm the full requirements in the official notice before applying.
Grants Advancing Community-Led AI Research to Improve Health is funded by Various (Community-Led Initiative) - AIM-AHEAD Hub-Specific Projects. Verify program details on the funder's official page before applying.
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NSF's TechAccess: AI-Ready America commits up to $224 million to build one AI-readiness coordination hub in every state, DC, and U.S. territory. Round 1 closed July 16, 2026 — but Rounds 2 and 3 are still open, and most states are still up for grabs. Here is how the hub structure works, who is eligible, why cost sharing is banned, and how to position an institution to own its state's hub.
Read articleThe Institute of Education Sciences announced its FY27 grantmaking on August 6 — five competitions with an October 1 deadline, optional letters of intent September 3, and awards from $350,000 to $1.2 million. The bigger news is structural: IES has narrowed its research priorities to literacy and STEM for general education and four topics for special education through FY2029, and is organizing grantees into coordinated hubs. Here is what changed, what the award ceilings actually are, and why the field-initiated competitions everyone is waiting for do not open until December.
Read articleOn June 1, 2026, DARPA and the National Science Foundation jointly released the AI Forge initiative — a university-only forum, administered by a nonprofit launching summer 2026, that will fund Project Ventures of roughly $750,000 to $3 million over one-year terms in three thrust areas: AI interpretability, AI control, and adversarial robustness. The RFI on SAM.gov closes June 22 at 5pm ET and is restricted to U.S. universities and military service academies, one authorized submission per institution. Intellectual property is expected to be shared across forum participants, preferably through open-source licensing. This is the most significant joint DARPA-NSF research vehicle in a decade, and it is structured to bypass the frontier-lab model entirely.
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