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The Alfred P. Sloan Foundation's Exploratory Grantmaking in Technology program supports exploratory research in emerging technology, with a current focus on AI in science.
The program funds projects exploring emerging AI technologies in research contexts including reproducibility and transparency of machine learning-enabled science, optimal uses of machine learning to produce new knowledge, robotic and automated scientific laboratories, AI-enabled hypothesis generation, foundation models for scientific discovery, and tools that strengthen the integrity and reliability of AI-driven science.
Sloan's Exploratory Grantmaking in Technology program accepts letters of inquiry on a rolling basis. Successful letters of inquiry are invited to submit full proposals.
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Or search similar grants →According to the current listing, eligibility includes: Open to universities, research institutions, and nonprofit organizations. Individual researchers should apply through their institutional sponsored research office. Two-page letter of inquiry required before full proposal. Confirm the full requirements in the official notice before applying.
The current listing shows grants range from approximately $100,000 to $400,000 USD based on recent awards. Project duration typically 1-3 years. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Sloan Foundation Exploratory Grantmaking in Technology for AI in Science Research Automation 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.