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The AIM-AHEAD Consortium Development Program (CDP) Year 4 (FAIR-MED) is an NIH-funded opportunity supporting multidisciplinary teams to integrate trustworthy artificial intelligence and machine learning throughout the design, development, and implementation of research that improves health outcomes and reduces disparities in underserved communities.
AIM-AHEAD anticipates supporting approximately eight Consortium Development projects, each with a budget cap of $800,000 total costs (up to $400,000 per year) over a 24-month period. The program builds AI/ML capacity at under-resourced institutions and with underrepresented communities as part of the broader $75 million AIM-AHEAD initiative.
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Or search similar grants →According to the current listing, eligibility includes: Multidisciplinary teams from eligible U.S. institutions, with emphasis on under-resourced institutions and researchers from underrepresented communities; must use data such as electronic health records to develop or enhance trustworthy AI/ML for health equity. Confirm the full requirements in the official notice before applying.
The current listing shows approximately eight awards of up to $400,000 per year (up to $800,000 total costs over a 24-month period). Verify award ceilings, matching requirements, and allowable costs in the official notice.
AIM-AHEAD Consortium Development Program Year 4: Fostering Trustworthy AI Research to Advance Health and Medicine for All Americans (FAIR-MED) is funded by National Institutes of Health (NIH) AIM-AHEAD Program. 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 Department of Defense FY2026 Defense University Research Instrumentation Program (DURIP) provides funding for U.S. universities to acquire research equipment and instrumentation in areas important to national defense, including AI and machine learning hardware. The program is administered jointly by the Army Research Office (ARO), Office of Naval Research (ONR), and Air Force Office of Scientific Research (AFOSR), with approximately $34 million available and 95 awards anticipated. DURIP funds the acquisition of specialized computing hardware for AI/ML research (GPU clusters, TPUs, neuromorphic processors), robotics and autonomous systems testbeds, sensor arrays and data collection systems for machine learning training, high-performance computing infrastructure for defense-relevant AI research, and laboratory equipment for human-AI interaction studies. The program specifically supports equipment that enhances research-related education in DoD-priority disciplines. While general-purpose computing is not eligible, computing equipment directly supporting DoD-relevant AI research programs qualifies. No cost sharing is required.
Vinnova, Sweden's national innovation agency, funds projects developing applied AI solutions for Swedish industry through its Advanced Digitalization Programme. Each project can apply for between 2 and 10 million SEK (approximately $190,000 to $950,000 USD) covering up to 50% of eligible project costs. The total call budget is 60 million SEK. Projects run for 12-24 months and focus on two key areas: Intelligent Edge (AI for real-time application in the sensor chain) and AI-based decision support. All projects must address industrial needs and integrate gender equality and climate change perspectives. Scientific publications must be open access. A parallel call also funds AI and cybersecurity projects at 1-10 million SEK per project with a 50 million SEK total budget.
With success rates plunging to 17% and multiyear funding eliminating nearly 1,000 grants in FY2026, biomedical researchers face the most competitive funding landscape in a generation.
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