Opportunity ID: 363268
General Information
| Funding Opportunity Number | 26-512 |
| Funding Opportunity Title | Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) |
| Agency | U.S. National Science Foundation |
| Document Type | synopsis |
| Version | 4 |
| Opportunity Category | Discretionary |
| Opportunity Category Explanation | Not specified |
| Funding Instrument Type | Grant |
| Category of Funding Activity | Science and Technology and other Research and Development |
| Category Explanation | Not specified |
| Expected Number of Awards | 50 |
| Cost Sharing or Matching Requirement | No |
| Posted Date | Jul 21, 2026 12:00:00 AM EDT |
| Last Updated Date | Aug 01, 2026 05:21:00 AM EDT |
| Original Closing Date | Nov 04, 2026 12:00:00 AM EST |
| Original Closing Date Notes | Not specified |
| Current Closing Date | Nov 04, 2026 12:00:00 AM EST |
| Current Closing Date Notes | Not specified |
| Estimated Synopsis Date | Not specified |
| Estimated Application Due Date | Not specified |
| Estimated Award Date | Not specified |
| Estimated Project Start Date | Not specified |
| Archive Date | Dec 04, 2026 12:00:00 AM EST |
| Estimated Total Program Funding | 100,000,000 |
| Award Ceiling | none |
| Award Floor | none |
Assistance Listings
- 47.041 — Engineering
- 47.049 — Mathematical and Physical Sciences
- 47.050 — Geosciences
- 47.070 — Computer and Information Science and Engineering
- 47.074 — Biological Sciences
- 47.084 — NSF Technology, Innovation, and Partnerships
- —
Eligibility
| Eligible Applicants | Others (see text field entitled "Additional Information on Eligibility" for clarification) |
*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
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.
Additional Information
| Contact | U.S. National Science Foundation |
| Contact Information | NSF support grantsgovsupport@nsf.gov |
| grantsgovsupport@nsf.gov | |
| Email Description | If you have any problems linking to this funding announcement, please contact the email address above. |
| Phone | 703-292-4203 |
NSF Publication 26-512
Version History
Version history
| Opp hist id / Opportunity id | 363268 |
| Opp hist id / Revision | 0 |
| Opportunity id | 363268 |
| Revision | 0 |
| Opportunity number | 26-512 |
| Opportunity title | Unlocking Dataset Value for AI-Enabled Scientific Discovery |
| Owning agency code | NSF |
| Opportunity category / Category | D |
| Opportunity category / Description | Discretionary |
| Synopsis / Id / Opportunity id | 363268 |
| Synopsis / Id / Revision | 0 |
| Synopsis / Opportunity id | 363268 |
| Synopsis / Revision | 0 |
| Synopsis / Version | 1 |
| Synopsis / Agency code | NSF |
| Synopsis / Agency address desc | If you have any problems linking to this funding announcement, please contact the email address above. |
| Synopsis / Agency details / Code | NSF |
| Synopsis / Agency details / Seed | NSF |
| Synopsis / Agency details / Agency name | U.S. National Science Foundation |
| Synopsis / Agency details / Agency code | NSF |
| Synopsis / Agency details / Top agency code | NSF |
| Synopsis / Agency contact phone | 703-292-4203 |
| Synopsis / Agency contact name | U.S. National Science Foundation |
| Synopsis / Agency contact desc | NSF support grantsgovsupport@nsf.gov |
| Synopsis / Agency contact email | grantsgovsupport@nsf.gov |
| Synopsis / Agency contact email desc | If you have any problems linking to this funding announcement, please contact the email address above. |
| Synopsis / Synopsis desc | 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 includeNSF 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 opportunitiesthat 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 promoteNSF's mission. Proposers should review the list ofNSF prioritiesand are encouraged to align their proposals with them, where appropriate. NSF also expects the highest standards of scientific rigor, integrity and adherence tenets ofGoldStandard Sciencein proposals, as appropriate for the field of science and research modality. |
| Synopsis / Response date | Nov 04, 2026 12:00:00 AM EST |
| Synopsis / Funding desc link url | http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf26512 |
| Synopsis / Funding desc link desc | NSF Publication 26-512 |
| Synopsis / Posting date | Jul 21, 2026 12:00:00 AM EDT |
| Synopsis / Archive date | Dec 05, 2031 12:00:00 AM EST |
| Synopsis / Cost sharing | No |
| Synopsis / Number of awards | 50 |
| Synopsis / Estimated funding | 100000000 |
| Synopsis / Estimated funding formatted | 100,000,000 |
| Synopsis / Award ceiling | none |
| Synopsis / Award floor | none |
| Synopsis / Applicant eligibility desc | *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. |
| Synopsis / Create time stamp | Jul 21, 2026 11:00:21 PM EDT |
| Synopsis / Action type | U |
| Synopsis / Action date | Aug 01, 2026 05:17:05 AM EDT |
| Synopsis / Created date | Jul 21, 2026 11:00:21 PM EDT |
| Synopsis / Last updated date | Jul 21, 2026 11:00:21 PM EDT |
| Synopsis / Applicant types 1 / Id | 25 |
| Synopsis / Applicant types 1 / Description | Others (see text field entitled "Additional Information on Eligibility" for clarification) |
| Synopsis / Funding instruments 1 / Id | G |
| Synopsis / Funding instruments 1 / Description | Grant |
| Synopsis / Funding activity categories 1 / Id | ST |
| Synopsis / Funding activity categories 1 / Description | Science and Technology and other Research and Development |
| Synopsis / Response date str | 2026-11-04-00-00-00 |
| Synopsis / Posting date str | 2026-07-21-00-00-00 |
| Synopsis / Archive date str | 2031-12-05-00-00-00 |
| Synopsis / Create time stamp str | 2026-07-21-23-00-21 |
| Cfdas 1 / Id | 434656 |
| Cfdas 1 / Opportunity id | 363268 |
| Cfdas 1 / Revision | 2 |
| Cfdas 1 / Cfda number | 47.041 |
| Cfdas 1 / Program title | Engineering |
| Cfdas 2 / Id | 434658 |
| Cfdas 2 / Opportunity id | 363268 |
| Cfdas 2 / Revision | 2 |
| Cfdas 2 / Cfda number | 47.049 |
| Cfdas 2 / Program title | Mathematical and Physical Sciences |
| Cfdas 3 / Id | 434654 |
| Cfdas 3 / Opportunity id | 363268 |
| Cfdas 3 / Revision | 2 |
| Cfdas 3 / Cfda number | 47.050 |
| Cfdas 3 / Program title | Geosciences |
| Cfdas 4 / Id | 434655 |
| Cfdas 4 / Opportunity id | 363268 |
| Cfdas 4 / Revision | 2 |
| Cfdas 4 / Cfda number | 47.070 |
| Cfdas 4 / Program title | Computer and Information Science and Engineering |
| Cfdas 5 / Id | 434653 |
| Cfdas 5 / Opportunity id | 363268 |
| Cfdas 5 / Revision | 2 |
| Cfdas 5 / Cfda number | 47.074 |
| Cfdas 5 / Program title | Biological Sciences |
| Cfdas 6 / Id | 434657 |
| Cfdas 6 / Opportunity id | 363268 |
| Cfdas 6 / Revision | 2 |
| Cfdas 6 / Cfda number | 47.084 |
| Cfdas 6 / Program title | NSF Technology, Innovation, and Partnerships |
| Cfdas 7 / Id | 434659 |
| Cfdas 7 / Opportunity id | 363268 |
| Cfdas 7 / Revision | 2 |
| Synopsis modified fields | Not specified |
| Forecast modified fields | Not specified |
| Opp hist id / Opportunity id | 363268 |
| Opp hist id / Revision | 1 |
| Opportunity id | 363268 |
| Revision | 1 |
| Opportunity number | 26-512 |
| Opportunity title | Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) |
| Owning agency code | NSF |
| Opportunity category / Category | D |
| Opportunity category / Description | Discretionary |
| Modified comments | Updated Synopsis via NSF Grants Opportunity Sync |
| Synopsis / Id / Opportunity id | 363268 |
| Synopsis / Id / Revision | 1 |
| Synopsis / Opportunity id | 363268 |
| Synopsis / Revision | 1 |
| Synopsis / Version | 2 |
| Synopsis / Agency code | NSF |
| Synopsis / Agency address desc | If you have any problems linking to this funding announcement, please contact the email address above. |
| Synopsis / Agency details / Code | NSF |
| Synopsis / Agency details / Seed | NSF |
| Synopsis / Agency details / Agency name | U.S. National Science Foundation |
| Synopsis / Agency details / Agency code | NSF |
| Synopsis / Agency details / Top agency code | NSF |
| Synopsis / Agency contact phone | 703-292-4203 |
| Synopsis / Agency contact name | U.S. National Science Foundation |
| Synopsis / Agency contact desc | NSF support grantsgovsupport@nsf.gov |
| Synopsis / Agency contact email | grantsgovsupport@nsf.gov |
| Synopsis / Agency contact email desc | If you have any problems linking to this funding announcement, please contact the email address above. |
| Synopsis / Synopsis desc | 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 includeNSF 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 opportunitiesthat 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 promoteNSF's mission. Proposers should review the list ofNSF prioritiesand are encouraged to align their proposals with them, where appropriate. NSF also expects the highest standards of scientific rigor, integrity and adherence tenets ofGoldStandard Sciencein proposals, as appropriate for the field of science and research modality. |
| Synopsis / Response date | Nov 04, 2026 12:00:00 AM EST |
| Synopsis / Funding desc link url | http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf26512 |
| Synopsis / Funding desc link desc | NSF Publication 26-512 |
| Synopsis / Posting date | Jul 21, 2026 12:00:00 AM EDT |
| Synopsis / Archive date | Dec 05, 2031 12:00:00 AM EST |
| Synopsis / Cost sharing | No |
| Synopsis / Number of awards | 50 |
| Synopsis / Estimated funding | 100000000 |
| Synopsis / Estimated funding formatted | 100,000,000 |
| Synopsis / Award ceiling | none |
| Synopsis / Award floor | none |
| Synopsis / Applicant eligibility desc | *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. |
| Synopsis / Create time stamp | Aug 01, 2026 05:17:05 AM EDT |
| Synopsis / Mod comments | Updated Synopsis via NSF Grants Opportunity Sync |
| Synopsis / Action type | U |
| Synopsis / Action date | Aug 01, 2026 05:17:05 AM EDT |
| Synopsis / Created date | Jul 21, 2026 11:00:21 PM EDT |
| Synopsis / Last updated date | Aug 01, 2026 05:17:05 AM EDT |
| Synopsis / Applicant types 1 / Id | 25 |
| Synopsis / Applicant types 1 / Description | Others (see text field entitled "Additional Information on Eligibility" for clarification) |
| Synopsis / Funding instruments 1 / Id | G |
| Synopsis / Funding instruments 1 / Description | Grant |
| Synopsis / Funding activity categories 1 / Id | ST |
| Synopsis / Funding activity categories 1 / Description | Science and Technology and other Research and Development |
| Synopsis / Response date str | 2026-11-04-00-00-00 |
| Synopsis / Posting date str | 2026-07-21-00-00-00 |
| Synopsis / Archive date str | 2031-12-05-00-00-00 |
| Synopsis / Create time stamp str | 2026-08-01-05-17-05 |
| Cfdas 1 / Id | 434656 |
| Cfdas 1 / Opportunity id | 363268 |
| Cfdas 1 / Revision | 2 |
| Cfdas 1 / Cfda number | 47.041 |
| Cfdas 1 / Program title | Engineering |
| Cfdas 2 / Id | 434658 |
| Cfdas 2 / Opportunity id | 363268 |
| Cfdas 2 / Revision | 2 |
| Cfdas 2 / Cfda number | 47.049 |
| Cfdas 2 / Program title | Mathematical and Physical Sciences |
| Cfdas 3 / Id | 434654 |
| Cfdas 3 / Opportunity id | 363268 |
| Cfdas 3 / Revision | 2 |
| Cfdas 3 / Cfda number | 47.050 |
| Cfdas 3 / Program title | Geosciences |
| Cfdas 4 / Id | 434655 |
| Cfdas 4 / Opportunity id | 363268 |
| Cfdas 4 / Revision | 2 |
| Cfdas 4 / Cfda number | 47.070 |
| Cfdas 4 / Program title | Computer and Information Science and Engineering |
| Cfdas 5 / Id | 434653 |
| Cfdas 5 / Opportunity id | 363268 |
| Cfdas 5 / Revision | 2 |
| Cfdas 5 / Cfda number | 47.074 |
| Cfdas 5 / Program title | Biological Sciences |
| Cfdas 6 / Id | 434657 |
| Cfdas 6 / Opportunity id | 363268 |
| Cfdas 6 / Revision | 2 |
| Cfdas 6 / Cfda number | 47.084 |
| Cfdas 6 / Program title | NSF Technology, Innovation, and Partnerships |
| Cfdas 7 / Id | 434659 |
| Cfdas 7 / Opportunity id | 363268 |
| Cfdas 7 / Revision | 2 |
| Synopsis modified fields | revision; version; opportunityTitle; synopsisDesc; applicantEligibilityDesc; createTimeStamp |
| Forecast modified fields | Not specified |
| Opp hist id / Opportunity id | 363268 |
| Opp hist id / Revision | 2 |
| Opportunity id | 363268 |
| Revision | 2 |
| Opportunity number | 26-512 |
| Opportunity title | Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) |
| Owning agency code | NSF |
| Opportunity category / Category | D |
| Opportunity category / Description | Discretionary |
| Modified comments | Updated Synopsis via NSF Grants Opportunity Sync |
| Synopsis / Id / Opportunity id | 363268 |
| Synopsis / Id / Revision | 2 |
| Synopsis / Opportunity id | 363268 |
| Synopsis / Revision | 2 |
| Synopsis / Version | 3 |
| Synopsis / Agency code | NSF |
| Synopsis / Agency address desc | If you have any problems linking to this funding announcement, please contact the email address above. |
| Synopsis / Agency details / Code | NSF |
| Synopsis / Agency details / Seed | NSF |
| Synopsis / Agency details / Agency name | U.S. National Science Foundation |
| Synopsis / Agency details / Agency code | NSF |
| Synopsis / Agency details / Top agency code | NSF |
| Synopsis / Agency contact phone | 703-292-4203 |
| Synopsis / Agency contact name | U.S. National Science Foundation |
| Synopsis / Agency contact desc | NSF support grantsgovsupport@nsf.gov |
| Synopsis / Agency contact email | grantsgovsupport@nsf.gov |
| Synopsis / Agency contact email desc | If you have any problems linking to this funding announcement, please contact the email address above. |
| Synopsis / Synopsis desc | 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 . |
| Synopsis / Response date | Nov 04, 2026 12:00:00 AM EST |
| Synopsis / Funding desc link url | http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf26512 |
| Synopsis / Funding desc link desc | NSF Publication 26-512 |
| Synopsis / Posting date | Jul 21, 2026 12:00:00 AM EDT |
| Synopsis / Archive date | Dec 04, 2026 12:00:00 AM EST |
| Synopsis / Cost sharing | No |
| Synopsis / Number of awards | 50 |
| Synopsis / Estimated funding | 100000000 |
| Synopsis / Estimated funding formatted | 100,000,000 |
| Synopsis / Award ceiling | none |
| Synopsis / Award floor | none |
| Synopsis / Applicant eligibility desc | *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. |
| Synopsis / Create time stamp | Aug 01, 2026 05:17:05 AM EDT |
| Synopsis / Mod comments | Updated Synopsis via NSF Grants Opportunity Sync |
| Synopsis / Action type | U |
| Synopsis / Action date | Aug 01, 2026 05:21:00 AM EDT |
| Synopsis / Created date | Jul 21, 2026 11:00:21 PM EDT |
| Synopsis / Last updated date | Aug 01, 2026 05:17:05 AM EDT |
| Synopsis / Applicant types 1 / Id | 25 |
| Synopsis / Applicant types 1 / Description | Others (see text field entitled "Additional Information on Eligibility" for clarification) |
| Synopsis / Funding instruments 1 / Id | G |
| Synopsis / Funding instruments 1 / Description | Grant |
| Synopsis / Funding activity categories 1 / Id | ST |
| Synopsis / Funding activity categories 1 / Description | Science and Technology and other Research and Development |
| Synopsis / Response date str | 2026-11-04-00-00-00 |
| Synopsis / Posting date str | 2026-07-21-00-00-00 |
| Synopsis / Archive date str | 2026-12-04-00-00-00 |
| Synopsis / Create time stamp str | 2026-08-01-05-17-05 |
| Cfdas 1 / Id | 434656 |
| Cfdas 1 / Opportunity id | 363268 |
| Cfdas 1 / Revision | 2 |
| Cfdas 1 / Cfda number | 47.041 |
| Cfdas 1 / Program title | Engineering |
| Cfdas 2 / Id | 434658 |
| Cfdas 2 / Opportunity id | 363268 |
| Cfdas 2 / Revision | 2 |
| Cfdas 2 / Cfda number | 47.049 |
| Cfdas 2 / Program title | Mathematical and Physical Sciences |
| Cfdas 3 / Id | 434654 |
| Cfdas 3 / Opportunity id | 363268 |
| Cfdas 3 / Revision | 2 |
| Cfdas 3 / Cfda number | 47.050 |
| Cfdas 3 / Program title | Geosciences |
| Cfdas 4 / Id | 434655 |
| Cfdas 4 / Opportunity id | 363268 |
| Cfdas 4 / Revision | 2 |
| Cfdas 4 / Cfda number | 47.070 |
| Cfdas 4 / Program title | Computer and Information Science and Engineering |
| Cfdas 5 / Id | 434653 |
| Cfdas 5 / Opportunity id | 363268 |
| Cfdas 5 / Revision | 2 |
| Cfdas 5 / Cfda number | 47.074 |
| Cfdas 5 / Program title | Biological Sciences |
| Cfdas 6 / Id | 434657 |
| Cfdas 6 / Opportunity id | 363268 |
| Cfdas 6 / Revision | 2 |
| Cfdas 6 / Cfda number | 47.084 |
| Cfdas 6 / Program title | NSF Technology, Innovation, and Partnerships |
| Cfdas 7 / Id | 434659 |
| Cfdas 7 / Opportunity id | 363268 |
| Cfdas 7 / Revision | 2 |
| Synopsis modified fields | revision; version; synopsisDesc; archiveDate; applicantEligibilityDesc |
| Forecast modified fields | Not specified |
Synopsis changes
revision
version
synopsisDesc
| Id | 363268 |
| Revision | 3 |
| Opportunity number | 26-512 |
| Opportunity title | Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) |
| Owning agency code | NSF |
| Modified comments | Updated Synopsis via NSF Grants Opportunity Sync |
| Opportunity category / Category | D |
| Opportunity category / Description | Discretionary |
| Synopsis / Opportunity id | 363268 |
| Synopsis / Version | 4 |
| Synopsis / Agency code | NSF |
| Synopsis / Agency name | U.S. National Science Foundation |
| Synopsis / Agency phone | 703-292-4203 |
| Synopsis / Agency address desc | If you have any problems linking to this funding announcement, please contact the email address above. |
| Synopsis / Agency details / Code | NSF |
| Synopsis / Agency details / Seed | NSF |
| Synopsis / Agency details / Agency name | U.S. National Science Foundation |
| Synopsis / Agency details / Agency code | NSF |
| Synopsis / Agency details / Top agency code | NSF |
| Synopsis / Top agency details / Code | NSF |
| Synopsis / Top agency details / Seed | NSF |
| Synopsis / Top agency details / Agency name | U.S. National Science Foundation |
| Synopsis / Top agency details / Agency code | NSF |
| Synopsis / Top agency details / Top agency code | NSF |
| Synopsis / Agency contact phone | 703-292-4203 |
| Synopsis / Agency contact name | U.S. National Science Foundation |
| Synopsis / Agency contact desc | NSF support grantsgovsupport@nsf.gov |
| Synopsis / Agency contact email | grantsgovsupport@nsf.gov |
| Synopsis / Agency contact email desc | If you have any problems linking to this funding announcement, please contact the email address above. |
| Synopsis / Synopsis desc | 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. |
| Synopsis / Response date | Nov 04, 2026 12:00:00 AM EST |
| Synopsis / Funding desc link url | http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf26512 |
| Synopsis / Funding desc link desc | NSF Publication 26-512 |
| Synopsis / Posting date | Jul 21, 2026 12:00:00 AM EDT |
| Synopsis / Archive date | Dec 04, 2026 12:00:00 AM EST |
| Synopsis / Cost sharing | No |
| Synopsis / Number of awards | 50 |
| Synopsis / Estimated funding | 100000000 |
| Synopsis / Estimated funding formatted | 100,000,000 |
| Synopsis / Award ceiling | none |
| Synopsis / Award floor | none |
| Synopsis / Applicant eligibility desc | *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. |
| Synopsis / Create time stamp | Aug 01, 2026 05:21:00 AM EDT |
| Synopsis / Mod comments | Updated Synopsis via NSF Grants Opportunity Sync |
| Synopsis / Created date | Jul 21, 2026 11:00:21 PM EDT |
| Synopsis / Last updated date | Aug 01, 2026 05:21:00 AM EDT |
| Synopsis / Applicant types 1 / Id | 25 |
| Synopsis / Applicant types 1 / Description | Others (see text field entitled "Additional Information on Eligibility" for clarification) |
| Synopsis / Funding instruments 1 / Id | G |
| Synopsis / Funding instruments 1 / Description | Grant |
| Synopsis / Funding activity categories 1 / Id | ST |
| Synopsis / Funding activity categories 1 / Description | Science and Technology and other Research and Development |
| Synopsis / Response date str | 2026-11-04-00-00-00 |
| Synopsis / Posting date str | 2026-07-21-00-00-00 |
| Synopsis / Archive date str | 2026-12-04-00-00-00 |
| Synopsis / Create time stamp str | 2026-08-01-05-21-00 |
| Agency details / Code | NSF |
| Agency details / Seed | NSF |
| Agency details / Agency name | U.S. National Science Foundation |
| Agency details / Agency code | NSF |
| Agency details / Top agency code | NSF |
| Top agency details / Code | NSF |
| Top agency details / Seed | NSF |
| Top agency details / Agency name | U.S. National Science Foundation |
| Top agency details / Agency code | NSF |
| Top agency details / Top agency code | NSF |
| Synopsis attachment folders | Not specified |
| Synopsis document urls | Not specified |
| Syn att change comments | Not specified |
| Cfdas 1 / Id | 434656 |
| Cfdas 1 / Opportunity id | 363268 |
| Cfdas 1 / Cfda number | 47.041 |
| Cfdas 1 / Program title | Engineering |
| Cfdas 2 / Id | 434658 |
| Cfdas 2 / Opportunity id | 363268 |
| Cfdas 2 / Cfda number | 47.049 |
| Cfdas 2 / Program title | Mathematical and Physical Sciences |
| Cfdas 3 / Id | 434654 |
| Cfdas 3 / Opportunity id | 363268 |
| Cfdas 3 / Cfda number | 47.050 |
| Cfdas 3 / Program title | Geosciences |
| Cfdas 4 / Id | 434655 |
| Cfdas 4 / Opportunity id | 363268 |
| Cfdas 4 / Cfda number | 47.070 |
| Cfdas 4 / Program title | Computer and Information Science and Engineering |
| Cfdas 5 / Id | 434653 |
| Cfdas 5 / Opportunity id | 363268 |
| Cfdas 5 / Cfda number | 47.074 |
| Cfdas 5 / Program title | Biological Sciences |
| Cfdas 6 / Id | 434657 |
| Cfdas 6 / Opportunity id | 363268 |
| Cfdas 6 / Cfda number | 47.084 |
| Cfdas 6 / Program title | NSF Technology, Innovation, and Partnerships |
| Cfdas 7 / Id | 434659 |
| Cfdas 7 / Opportunity id | 363268 |
| Opportunity pkgs 1 / Id | 293720 |
| Opportunity pkgs 1 / Topportunity id | 363268 |
| Opportunity pkgs 1 / Family id | 14 |
| Opportunity pkgs 1 / Dialect | XFDL2.2 |
| Opportunity pkgs 1 / Opportunity number | 26-512 |
| Opportunity pkgs 1 / Opportunity title | Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) |
| Opportunity pkgs 1 / Opening date | 2026-07-21 |
| Opportunity pkgs 1 / Closing date | 2026-11-04 |
| Opportunity pkgs 1 / Owning agency code | NSF |
| Opportunity pkgs 1 / Agency details / Code | NSF |
| Opportunity pkgs 1 / Agency details / Seed | NSF |
| Opportunity pkgs 1 / Agency details / Agency name | U.S. National Science Foundation |
| Opportunity pkgs 1 / Agency details / Agency code | NSF |
| Opportunity pkgs 1 / Agency details / Top agency code | NSF |
| Opportunity pkgs 1 / Top agency details / Code | NSF |
| Opportunity pkgs 1 / Top agency details / Seed | NSF |
| Opportunity pkgs 1 / Top agency details / Agency name | U.S. National Science Foundation |
| Opportunity pkgs 1 / Top agency details / Agency code | NSF |
| Opportunity pkgs 1 / Top agency details / Top agency code | NSF |
| Opportunity pkgs 1 / Contact info | AI Datasets Program Officers E-mail: aidatasets@nsf.gov |
| Opportunity pkgs 1 / Grace period | 7 |
| Opportunity pkgs 1 / Electronic required | N |
| Opportunity pkgs 1 / Expected application count | 400 |
| Opportunity pkgs 1 / Expected application size | 50 |
| Opportunity pkgs 1 / Open to applicant type | 3 |
| Opportunity pkgs 1 / Is multi project | N |
| Opportunity pkgs 1 / Extension | |
| Opportunity pkgs 1 / Mimetype | application/pdf |
| Opportunity pkgs 1 / Last update | Aug 01, 2026 05:21:01 AM EDT |
| Opportunity pkgs 1 / Workspace compatible flag | Y |
| Opportunity pkgs 1 / Package id | PKG00293720 |
| Opportunity pkgs 1 / Opening date str | 2026-07-21-00-00-00 |
| Opportunity pkgs 1 / Closing date str | 2026-11-04-00-00-00 |
| Closed opportunity pkgs | Not specified |
| Original due date | Nov 04, 2026 12:00:00 AM EST |
| Synopsis modified fields | revision; version; synopsisDesc |
| Forecast modified fields | Not specified |
| Error messages | Not specified |
| Syn post date in past | Yes |
| Doc type | synopsis |
| Forecast hist count | 0 |
| Synopsis hist count | 3 |
| Assist compatible | No |
| Assist url | Not specified |
| Related opps | Not specified |
| Ost | POSTED |
Related Documents
There are no related documents on this grant.
Packages
| Agency Contact Information: | NSF support grantsgovsupport@nsf.gov |
| Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
|---|---|---|---|---|---|---|
| PKG00293720 | 2026-07-21 | 2026-11-04 | View |
Package 1
Instructions
PKG00293703-instructions.pdf
Mandatory forms
RR_SF424_5_0-V5.0.pdf
NSF_CoverPage_2_3-V2.3.pdf
NSF_KeyPersonExpanded_3_3-V3.3.pdf
RR_Budget_3_0-V3.0.pdf
PerformanceSite_4_0-V4.0.pdf
RR_OtherProjectInfo_1_4-V1.4.pdf
Optional forms
NSF_DeviationAuthorization-V1.1.pdf
NSF_SuggestedReviewers-V1.1.pdf
RR_SubawardBudget_3_0-V3.0.pdf
