Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets)

Key facts

Copied from the official Grants.gov record. Last verified October 29, 2026.

Program name

Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets)

Issuing agency

U.S. National Science Foundation

Opportunity number

26-512

Funding type

Grant

Funding purpose

Science and Technology and other Research and Development

Status

Open (posted)

Application deadline

Closes November 4, 2026(5 days left)

Published award range

Not published by the agency

Estimated total program funding

$100,000,000

Expected number of awards

50

Cost sharing or match required

No

Eligible applicants (official categories)

• Others (see Additional Information on Eligibility)

Relevant to

Businesses and NonprofitsHow we determined this: Listed as 'Others'; the agency's eligibility text mentions businesses (flagged for review). Listed as 'Others'; the agency's eligibility text mentions nonprofits (flagged for review).

Geographic restrictions

None stated in structured data (federal opportunities are often nationwide). Check the eligibility details and full announcement for any limits.

Assistance Listing (CFDA)

47.041, 47.049, 47.050, 47.074, 47.084

Official source

View on Grants.gov ↗ · Agency information link ↗

Application URL

www.grants.gov/search-results-detail/363268 ↗Apply through Grants.gov (Workspace) using the application package on the official listing, unless the full announcement names a different submission system.

Source identifier

Grants.gov opportunity ID 363268 · Funding opportunity number 26-512

Posted

July 21, 2026 · Source last updated October 22, 2026

Last verified

October 29, 2026 (against Grants.gov)

Data completeness

92% of key fields published by the sourceNot published: published funding range.

Record confidence

loweligibility described only in free text (in review).

Eligibility details (from the agency)

*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.

Description (from the official listing)

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…

Agency contact

NSF grants.gov support grantsgovsupport@nsf.gov
grantsgovsupport@nsf.gov