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Schmidt Sciences' AI in Science and Society initiative funds development of innovative AI tools that accelerate progress in engineering, physical sciences, and complex system design while also examining AI's societal implications.
Funded scope includes domain-adapted foundation models for engineering and physical sciences, generative AI for materials discovery and molecular design, AI for complex system simulation and control, autonomous experimental platforms, and interdisciplinary projects bridging AI methods with deep scientific domains.
The program also supports work on the societal context of scientific AI including responsible release, equitable access, and human-AI collaboration in scientific practice.
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Search similar grants →According to the current listing, eligibility includes: Universities, non-profit research institutions, and academic medical centers in the U.S. and internationally. Open to investigators across all career stages. Strong fit for interdisciplinary teams combining AI/ML expertise with deep domain science. Confirm the full requirements in the official notice before applying.
The current listing shows awards range from $100,000 to $500,000 per project, with multi-year commitments for high-impact teams. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Schmidt Sciences AI in Science and Society RFP for AI Tools Accelerating Engineering Physical Sciences and Complex System Design are due September 15, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Schmidt Sciences AI in Science and Society RFP for AI Tools Accelerating Engineering Physical Sciences and Complex System Design is funded by Schmidt Sciences (Eric and Wendy Schmidt Fund for Strategic Innovation). 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.
Schmidt Sciences' 2026 Science of Trustworthy AI RFP closes May 17 with two funding tiers — up to $1M (Tier 1) and $1–5M+ (Tier 2) over 1–3 years, with a 10% indirect cost cap. The three research aims target misalignment under distribution shift, predictive-validity evaluations, and oversight of superhuman systems. Here is why the structure favors team-based proposals.
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