Schmidt Futures AI Safety Fundamental Research grants are awarded by Schmidt Sciences to support basic technical research advancing the science of trustworthy AI. The program funds work on decision-relevant evaluations, interpretability, oversight, and robustness research for frontier AI systems. Awards range from $500,000 to $10,000,000. Eligible applicants include academic researchers, nonprofits, and think tanks working to improve humanity's ability to understand, predict, and control risks from advanced AI systems. Schmidt Sciences issued a 2026 Science of Trustworthy AI Request for Proposals inviting researchers with rigorous approaches to AI safety that generalize across model families and deployment contexts.

The Science of Trustworthy AI program from Schmidt Sciences funds technical research to understand, predict, and control risks from frontier AI systems. The 2026 RFP offers two funding tiers: Tier 1 up to $1 million and Tier 2 from $1 million to $5 million or more, each spanning one to three years. The research agenda focuses on three aims: characterizing misalignment in frontier AI, developing generalizable measurements and interventions, and overseeing AI systems with superhuman capabilities including multi-agent risks. Proposals are open globally to universities, national laboratories, institutes, and nonprofit research organizations, with preference for multi-PI collaborations. Schmidt Sciences also provides compute resources, software engineering support, and API credits with frontier model providers. Indirect costs must not exceed 10 percent.

Schmidt Sciences invites proposals for the 2026 Science of Trustworthy AI RFP, funding technical research that advances the science of building trustworthy AI systems. The program addresses three interconnected research aims: understanding why frontier AI systems develop misaligned goals that fail under distribution shift or pressure (Aim 1), creating valid evaluations and interventions to control what AI systems learn (Aim 2), and developing oversight mechanisms for superhuman AI capabilities and managing multi-agent risks (Aim 3). Beyond direct funding, awardees receive computing resources including GPUs and CPUs, software engineering support, API credits with frontier model providers, and access to a research community. The program is open globally and encourages cross-institutional and cross-geographic collaborations. Indirect costs are capped at 10% of total direct costs.

The AI Science Safety Program from Schmidt Sciences is a grant from Schmidt Sciences that funds technical research improving the ability to understand, predict, and control risks from advanced AI systems. The 2026 Science of Trustworthy AI RFP offers two funding tiers: Tier 1 awards of up to $1,000,000 for one-to-three-year projects, and Tier 2 awards of $1,000,000 to $5,000,000 or more for larger multi-year efforts. The program supports research on AI interpretability, robustness, alignment, evaluation methodologies, and governance mechanisms. Eligible applicants are researchers at academic institutions and research organizations globally. The application deadline is May 17, 2026. Schmidt Sciences hosted informational webinars in March and April 2026; inquiries can be directed to trustworthyai@schmidtsciences.org.

Schmidt Sciences invites proposals for its 2026 Science of Trustworthy AI program, supporting technical research that improves our ability to understand, predict, and control risks from frontier AI systems. The program funds work across three research aims: characterizing misalignment in frontier AI systems, developing generalizable measurements and interventions for AI safety, and overseeing AI systems with superhuman capabilities including multi-agent risks. Research areas include interpretability, robustness, alignment, and risk prediction. Tier 1 awards up to $1M support focused investigations, while Tier 2 awards of $1M-$5M+ fund larger multi-year collaborative efforts across multiple institutions. Schmidt Sciences also provides compute resources, software engineering support, and API credits with frontier model providers. Preference is given to multi-PI collaborations. This is a rigorous scientific research program focused on technical AI safety, not policy analysis.

Schmidt Marine Technology Partners (SMTP) Programmatic Funding is sponsored by The Schmidt Family Foundation. This program supports the development of novel marine technologies that solve complex ocean health issues and have strong commercialization potential. It focuses on taking technologies from early-stage development (TRL 2-6) toward economic sustainability and global impact. Geographic focus: Global Focus areas: Sustainable Fisheries, Ocean Observing, Habitat Health, Network Support

Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science is a grant from the National Science Foundation (NSF) that funds interdisciplinary research at the intersection of AI, advanced data science, and human health. The program supports projects developing innovative computational approaches to biomedical challenges, from early disease detection to personalized medicine. Awards range from $1,000,000 to $2,000,000. Eligible applicants include universities and medical research institutions. The program status is currently listed as waiting for new publication on the NSF website.