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ARPA-H MOCS (Making Obstetrics Care Smart) develops technology to help families and care teams plan for and have safe deliveries by generating tools to predict both chronic and acute fetal status and provide the best recommendations for intervention. The program uses new sensors paired with artificial intelligence and machine learning to predict infant status.
Two technical areas are funded: (1) risk scoring systems for predicting low fetal oxygen levels using AI/ML models and (2) novel non-invasive wireless monitoring methods to assess fetal risk continuously during labor and delivery. The program addresses the critical challenge that current fetal monitoring technologies have high false positive rates leading to unnecessary interventions while missing genuine distress signals.
Pre-proposal discussions were required before full proposal submission. This is distinct from ARPA-H AIR which focuses on surgical robotics and from ARPA-H ADVOCATE which develops agentic AI for cardiovascular care.
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Or search similar grants →According to the current listing, eligibility includes: Open to interdisciplinary teams from academia industry nonprofits and small businesses with expertise in AI/ML obstetrics fetal medicine and medical device development. Pre-proposal discussion scheduling requests were due December 19 2025. Full proposals were due January 21 2026 at 12:00 PM ET via the ARPA-H Solutions Portal. SAM.gov Notice ID ARPA-H-SOL-26-143. Future rounds may be announced. Confirm the full requirements in the official notice before applying.
The current listing shows multiple awards anticipated across two technical areas. Total program funding not publicly disclosed. ARPA-H programs typically range from $3 million to $20 million per performer team. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was January 21, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
ARPA-H MOCS Making Obstetrics Care Smart for AI-Powered Fetal Monitoring and Safe Delivery is funded by Advanced Research Projects Agency for 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.
The Gates Foundation committed at least $1 billion over two years to equitable AI alongside its 10th Goalkeepers Report — 40% education, 40% health, 10% agriculture, 10% digital infrastructure. Five days later, 60 organizations signed a five-year goal to reach 3.4 billion speakers of underrepresented languages. Here is how implementing nonprofits should read both.
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