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The Sloan Foundation's exploratory grantmaking in Technology supports the development and adoption of AI tools that accelerate scientific research and automate aspects of the scientific process.
Funded scope includes foundation models for science (chemistry, biology, materials, physics), AI lab automation and self-driving laboratories, AI-driven literature review and synthesis tools, machine learning for experimental design, scientific reasoning and hypothesis generation in LLMs, and infrastructure for open scientific AI.
The exploratory program identifies emerging sectors, tools, and methods with high potential that may not yet attract mainstream funding, prioritizing interdisciplinary risk-taking work.
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Or search similar grants →According to the current listing, eligibility includes: U.S. and international non-profit research institutions, universities, and individual investigators. Open to all career stages. Rolling letter of inquiry process; invited full proposals follow. Strong fit for projects building AI infrastructure or methodology with broad applicability across scientific domains. Confirm the full requirements in the official notice before applying.
The current listing shows grants typically range from $100,000 to $400,000 per project. Rolling letters of inquiry accepted year-round. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Sloan Foundation Exploratory Grantmaking in Technology for AI in Science and Research Automation 2026 are due December 31, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Sloan Foundation Exploratory Grantmaking in Technology for AI in Science and Research Automation 2026 is funded by Alfred P. Sloan Foundation. 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' AI Impact on Jobs program supports rigorous interdisciplinary research on how generative AI and AI agents are reshaping employment, occupational tasks, wages, productivity, and labor markets. Funded scope includes empirical measurement of AI adoption across industries and occupations, task-level analyses of AI capabilities and displacement, longitudinal studies of worker outcomes, AI's effects on inequality and labor market polarization, evaluation of reskilling and transition programs, AI's role in entrepreneurship and small business productivity, and policy-relevant work on social safety nets and labor regulation in an AI economy.
Path to a Cure Research Grant is a grant from Cystic Fibrosis Foundation that funds basic science research aimed at restoring CFTR protein function or developing gene-based approaches to treat cystic fibrosis. The program specifically targets projects proposing restoration of CFTR protein function or approaches to fix or replace the defective CFTR gene. Awards provide up to $150,000 per year (plus 12% indirect costs) for up to two years, with grants competitively renewable for additional funding. Eligible applicants are independent investigators at for-profit and nonprofit institutions. Proposals must be hypothesis-driven with sufficient preliminary data. The fall cycle deadline is November 15, 2026.