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PAR-25-131 funds development of computational and AI-driven approaches to scale up curation of biomedical research assets including datasets, models, software, ontologies, and literature.
Funded scope includes large language model-based extraction and normalization of biomedical entities and relations, AI-enabled metadata generation and FAIR-ification, generative AI for ontology mapping and harmonization, automated dataset quality assessment and provenance tracking, model card and data sheet generation, knowledge graph construction at scale, and human-in-the-loop AI curation systems.
Strong fit for NLP, knowledge representation, and AI-for-science teams.
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Or search similar grants →According to the current listing, eligibility includes: U.S. higher education institutions, nonprofits, for-profit organizations, government agencies. International applications under standard NIH guidelines. Open to investigators at all career stages. Multiple receipt dates per year through standard NIH cycles. Confirm the full requirements in the official notice before applying.
The current listing shows NIH R01 award mechanism. Typical R01 awards range from $250,000 to $500,000 in direct costs per year, with project periods of up to 5 years (cumulative direct costs typically $1.25M to $2.5M). Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NLM PAR-25-131 Computational Approaches to Curation at Scale for Biomedical Research Assets are due April 16, 2027. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NLM PAR-25-131 Computational Approaches to Curation at Scale for Biomedical Research Assets is funded by National Library of Medicine (NLM), 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.
PHS 2023-2 Omnibus Solicitation of the NIH for Small Business Technology Transfer Grant Applications (Parent STTR [R41/R42] Clinical Trial Not Allowed) is sponsored by National Library of Medicine (NLM), National Institutes of Health (NIH). This solicitation supports cooperative research and development projects between small business concerns and research institutions in biomedical informatics and data science.
PHS 2023-2 Omnibus Solicitation of the NIH, CDC and FDA for Small Business Innovation Research Grant Applications (Parent SBIR [R43/R44] Clinical Trial Not Allowed) is sponsored by National Library of Medicine (NLM), National Institutes of Health (NIH). This omnibus solicitation supports small businesses engaging in research and development in biomedical informatics and data science, leading to commercialization.
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.
PAR-26-042 funds NLM-priority clinical informatics R01 grants up to $250,000 in direct costs per year through March 6, 2029, with standard NIH cycles on October 5, February 5, and June 5. The notice explicitly defines non-responsive applications: incremental tool improvements, projects primarily focused on social determinants of health, and projects primarily focused on ethical/legal/social issues. With NIH SBIR/STTR just reopened and the OMB Uniform Grants Regulation rewrite reshaping discretionary awards, the NLM clinical informatics line is one of the few stable, well-defined biomedical funding streams left at the agency. Here is how to read it.
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