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RFA-DK-26-315 funds research developing and evaluating digital health technologies and AI/ML approaches for management of Type 2 Diabetes (T2D).
Funded scope includes AI-driven personalized glycemic management algorithms, machine learning-based decision support for clinicians and patients, wearable and continuous glucose monitoring integration with predictive AI, natural language processing for patient-reported outcomes, conversational AI for diabetes self-management coaching, AI-enabled lifestyle and dietary interventions, and equitable digital health solutions for underserved populations.
Studies should advance both efficacy and implementation science for AI-enabled T2D care.
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Or search similar grants →According to the current listing, eligibility includes: U.S. higher education institutions, nonprofits, for-profit organizations, state and local governments, and federal agencies. International applications allowed under standard NIH guidelines. Open to investigators at all career stages; new and early-stage investigators encouraged. 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 NIDDK RFA-DK-26-315 Advancing Research on Digital Health Technology and AI for Management of Type 2 Diabetes are due October 7, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NIDDK RFA-DK-26-315 Advancing Research on Digital Health Technology and AI for Management of Type 2 Diabetes is funded by National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), 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.
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.
PA-27-037 consolidates the Predoctoral to Postdoctoral Transition Award into a single parent announcement across 20 NIH components, with the next deadline December 8, 2026. The eligibility gate is not the science — it is a mandatory change of institution and mentor between the F99 and K00 phases.
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Read articlePA-27-034, PA-27-035 and PA-27-036 replace the institute-specific R25 announcements that research education programs have been built around for a decade. NCI, NIDA and NIGMS have already expired theirs early. Here is what the consolidation actually changes: an 8% indirect cost ceiling, a US-citizens-and-permanent-residents participant rule, a cooperative agreement variant that only exists on one of the three, and no clinical-trial-allowed companion anywhere.
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