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The Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) program is a joint NSF-NIH initiative supporting transformative high-risk high-reward research advances in computer and information science engineering mathematics statistics and behavioral or cognitive research to address critical biomedical and public health challenges.
The program requires fundamental scientific or engineering contributions spanning two or more disciplines. Key research themes include fairness and trustworthiness in AI and ML systems for health applications multimodal sensing systems advanced analytics for biomedical research cyber-physical systems robotics and biomedical image interpretation.
Projects must demonstrate how computer science or data science advances enable new approaches to biomedical or public health problems. Traditional disease-centric medical or clinical studies are out of scope. This program is distinct from the NSF ExpandAI program which focuses on capacity building and from ARPA-H programs which fund specific clinical applications.
The SCH program specifically targets foundational interdisciplinary research at the intersection of AI and health sciences.
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Or search similar grants →According to the current listing, eligibility includes: U.S. institutions of higher education including two-year and four-year accredited colleges and community colleges. Non-profit non-academic organizations directly associated with educational or research activities are also eligible. An investigator may serve as PI co-PI or senior personnel in no more than two proposals per annual deadline. Proposals require interdisciplinary teams spanning computer science engineering mathematics and biomedical sciences. Confirm the full requirements in the official notice before applying.
The current listing shows up to $300,000 per year for up to four years, with a maximum total of $1,200,000 per award. NSF anticipates funding 10 to 16 awards annually from a total program budget of $15,000,000 to $20,000,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
NSF-NIH Smart Health and Biomedical Research in the Era of AI and Advanced Data Science is funded by National Science Foundation and National Institutes of Health. 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 NEH Humanities Research Centers on Artificial Intelligence program funds the creation of university-based humanities research centers focused on the ethical, legal, and societal implications of artificial intelligence. Funded centers undertake interdisciplinary humanities-led research that brings ethics, law, history, philosophy, anthropology, religious studies, literature, linguistics, and cultural studies to bear on questions raised by AI systems. Topics include responsible AI governance frameworks, AI and civil rights, AI and labor, cultural impact of generative AI, AI and creative authorship, philosophical foundations of machine reasoning, history of AI thought, and humanistic evaluation of AI safety and alignment. Centers are expected to convene researchers, train new humanities scholars in AI, host public-facing programming, and produce publications and translational tools that inform policy and public understanding. Strong fit for universities seeking to launch sustained interdisciplinary AI humanities research programs in partnership with computer science and other STEM departments.
NSF SaTC 2.0 (Security Privacy and Trust in Cyberspace) is the largest open solicitation for university-led cybersecurity research in the federal portfolio now expanded with AI security as an explicit priority area. The 2.0 reboot added generative AI security open-source software security quantum computing security and supply chain security as topics of interest addressing the bidirectional role of AI as both a cybersecurity threat and a defensive tool. Research awards support adversarial machine learning and attacks on AI systems AI weaponization against people information and systems privacy-preserving machine learning and responsible AI use for detecting and responding to cyber threats. The program funds three award types: Research awards up to $1.2M for four years Education awards up to $500K for three years and Seedling awards up to $300K for two years through Dear Colleague Letters. Proposals are accepted on a recurring annual basis with two windows per year. This is distinct from NSF CyberAICorps which focuses on scholarship and workforce development and from NSF AIMing which focuses on AI formal methods and mathematical reasoning.
The Air Force Research Laboratory Information Directorate's Geospatial Intelligence Processing and Exploitation (GeoPEX) Broad Agency Announcement, FA8750-21-S-7006, is an open two-step BAA soliciting white papers for research, development, integration, test, and evaluation of technologies and techniques to provide geospatial intelligence (GEOINT) in all its forms and from whatever source, including imagery, imagery intelligence, and geospatial data. Explicit focus areas include AI/ML techniques for full-spectrum GEOINT, multi-INT data fusion, cloud-based high-performance computing for geospatial analytics, photogrammetry, computer vision for overhead imagery, automated target recognition, change detection, multi-modal foundation models for geospatial data, and edge AI for tactical reconnaissance. The BAA is open and effective until 30 September 2026 with rolling white paper submission; only white papers are accepted as initial submissions and formal proposals are accepted by invitation only. Strong fit for AI and computer vision performers building geospatial analytics, foundation models, or autonomous reconnaissance tools for Air Force, intelligence community, and combatant command users.
New NIH awards have fallen 34% in 2026, NSF is running months behind, and a proposed OMB rule would let political appointees terminate grants mid-stream. The funding environment for academic research has structurally changed. Here is a clear-eyed diversification strategy for PIs, research offices, and institutions that cannot wait for the political fight to resolve.
Read articleOMB'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 articleOPM's March 2026 rule strips civil service protections from positions deemed policy-influencing — including potentially thousands of grant reviewers and program officers across NSF, NIH, and the Department of Defense. Here's how grant seekers should adapt.
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