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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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Or 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.
The John Templeton Foundation's 2026 Online Funding Inquiry (OFI) cycle prioritizes projects exploring intelligences across natural, human, and artificial systems. Funded AI-relevant scope includes the science of intelligence and cognition, philosophical and ethical foundations of AI, comparative intelligence research (human, animal, machine), human flourishing in an AI-mediated world, foundations of trust and value alignment, and AI's implications for meaning, agency, virtue, and religious traditions. Two competitive OFI cycles per year; successful inquiries are invited to submit full proposals.
The ADDF-Harrington Scholar Program identifies and accelerates promising drug discovery research for Alzheimer's disease and related dementias, with explicit support for AI/ML-enabled approaches including generative AI for novel drug candidate identification, deep learning for target validation, AI-driven repurposing of approved drugs, and computational platforms for amyloid and tau pathology. Scholars receive a 2-year grant of $600K plus comprehensive drug development expertise from the Harrington Discovery Institute and ADDF's Drug Development Accelerator. Optional follow-on investment through ADDF's venture arm. Strong fit for academic investigators with promising preclinical leads, AI-enabled drug discovery platforms, or novel computational therapeutic approaches.
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