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AHRQ funding opportunity PA-24-266 supports phased R21/R33 projects developing and testing digital healthcare solutions, including AI- and machine-learning-enabled tools, to improve the quality, safety, and effectiveness of healthcare delivery. The R21 exploratory phase provides up to roughly $275,000 and the R33 development phase up to roughly $1,000,000, enabling teams to move promising digital and AI health innovations from concept toward validated, deployable solutions.
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Or search similar grants →According to the current listing, eligibility includes: U.S. universities, academic medical centers, nonprofit and for-profit organizations, and other entities eligible under AHRQ policy; multidisciplinary teams combining clinical, informatics, and AI/ML expertise are encouraged. Confirm the full requirements in the official notice before applying.
The current listing shows up to approximately $275,000 in total costs for the R21 exploratory phase and up to approximately $1,000,000 for the R33 development phase, supporting digital healthcare solutions including AI and machine learning tools. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for AHRQ R21/R33 Digital Healthcare Solutions for Safe and Effective AI-Enabled Care (PA-24-266) are due August 1, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
AHRQ R21/R33 Digital Healthcare Solutions for Safe and Effective AI-Enabled Care (PA-24-266) is funded by Agency for Healthcare Research and Quality (AHRQ). 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.
Human-Environment and Geographical Sciences Program (HEGS) is sponsored by National Science Foundation (NSF). Supports basic scientific research about the nature, causes, consequences, or evolution of the spatial dimensions of human behaviors, activities, and dynamics as well as their interactions with environmental and social processes across a range of scales. This includes research on socio-environmental systems and human-environmental interactions, which can encompass aspects of polycentric governance and common pool resources. The program has a new Transdisciplinary REsearch in Environmental Social Science (TREES) track for integrating social and environmental science.
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.
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