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Find similar grantsUnlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) is sponsored by National Science Foundation. This program will advance scientific community datasets to enable scientific discovery and innovation using artificial intelligence (AI) and other methods.
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Opportunity Listing - Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) Agency: U.S. National Science Foundation Assistance Listings: 47. 074 -- Biological Sciences 47. 070 -- Computer and Information Science and Engineering 47.
084 -- NSF Technology, Innovation, and Partnerships 47. 049 -- Mathematical and Physical Sciences Last Updated: August 1, 2026 View version history on Grants. gov This program will advance scientific community datasets to enable scientific discovery and innovation using artificial intelligence (AI) and other methods.
Its goal is to increase the value that can be derived from existing scientific datasets by leveraging novel methods and artificial intelligence (AI). This will unlock new AI-driven insights. It can enable interdisciplinary research.
It also enables investigations outside of the original motivation for data collection and analysis. The program seeks to 1) apply AI-based capabilities to feature extraction and metadata generation, and the integration of multiple datasets. 2) Develop robust data pipelines necessary for automated analysis of existing datasets and similar use-cases by AI tools and systems.
3) Augment and/or harmonize existing datasets to better enable use by AI data pipelines and automated analysis. Proposals should address dataset security and integrity. Governance and the process for scientific communities to contribute to the datasets should also be addressed.
Proposals are encouraged to leverage existing resources. These may include NSF data platforms , the NSF Integrated Data Systems and Services program , the NSF-led National AI Research Resource , the Genesis Mission platform , or other national infrastructure.
NSF is open to exploring partnerships with philanthropy, private industry, or the non-profit sector to support additional proposals or collaborative opportunities that will advance AI-driven scientific discovery through unlocking the value of high-impact scientific datasets.
Expanding Participation in STEM, NSF Priorities, and Gold Standard Science: NSF prioritizes cutting-edge discovery science and engineering research, advancing technology and innovation, and creating opportunities for all Americans. NSF has established priorities set forth by Congress, the administration and the NSF director to promote NSF's mission .
Proposers should review the list of NSF priorities and are encouraged to align their proposals with them, where appropriate. NSF also expects the highest standards of scientific rigor, integrity and adherence tenets of Gold Standard Science in proposals, as appropriate for the field of science and research modality.
*Who May Submit Proposals: Proposals may only be submitted by the following: -For-profit organizations: U.S.-based commercial organizations, including small businesses, with strong capabilities in scientific or engineering research or education and a passion for innovation.
-Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities.
-Other Federal Agencies and Federally Funded Research and Development Centers (FFRDCs): Prospective proposers from other Federal Agencies and FFRDCs, including NSF sponsored FFRDCs, must follow the guidance in PAPPG Chapter I.E.2 regarding limitations on eligibility.
-State and Local Governments -Institutions of Higher Education (IHEs): Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members.
Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of sub-awards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus.
-Tribal Nations: An American Indian or Alaska Native tribe, band, nation, pueblo, village, or community that the Secretary of the Interior acknowledges as a federally recognized tribe pursuant to the Federally Recognized Indian Tribe List Act of 1994, 25 U.S.C. §§ 5130-5131. Grantor contact information If you have any problems linking to this funding announcement, please contact the email address above.
No documents are currently available. Link to additional information Closing: November 4, 2026 Funding opportunity number : Cost sharing or matching requirement : Funding instrument type : Opportunity Category Explanation : Category of Funding Activity : Science technology and other research and development Your account requires additional identity verification.
According to the current listing, eligibility includes: NSF programs support a wide range of AI safety research, from mathematical foundations of robust machine learning to human-centered AI design, from algorithmic fairness to formal verification of AI systems. Confirm the full requirements in the official notice before applying.
The current listing shows up to $200,000 (Planning grants), up to $2,000,000 (Impact awards), up to $5,000,000 (Flagship awards). Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) are due November 4, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) is funded by National Science 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.
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