Opportunity ID: 363866
General Information
| Funding Opportunity Number | 24-560 |
| Funding Opportunity Title | Data Science Corps (DSC) |
| Agency | U.S. National Science Foundation |
| Document Type | synopsis |
| Version | 1 |
| 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 | 15 |
| Cost Sharing or Matching Requirement | No |
| Posted Date | Sep 15, 2026 12:00:00 AM EDT |
| Last Updated Date | Sep 15, 2026 09:22:21 AM EDT |
| Original Closing Date | Not specified |
| Original Closing Date Notes | Funding Opportunity is Archived, Proposals are not accepted |
| Current Closing Date | Not specified |
| Current Closing Date Notes | Funding Opportunity is Archived, Proposals are not accepted |
| Estimated Synopsis Date | Not specified |
| Estimated Application Due Date | Not specified |
| Estimated Award Date | Not specified |
| Estimated Project Start Date | Not specified |
| Archive Date | Sep 16, 2026 12:00:00 AM EDT |
| Estimated Total Program Funding | 10,000,000 |
| Award Ceiling | 1,200,000 |
| Award Floor | 800,000 |
Assistance Listings
- 47.049 — Mathematical and Physical Sciences
- 47.050 — Geosciences
- 47.070 — Computer and Information Science and Engineering
- 47.074 — Biological Sciences
- 47.075 — Social, Behavioral, and Economic Sciences
- 47.076 — STEM Education (formerly Education and Human Resources)
- 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:
-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.
-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.
Description
The objective of the Data Science Corps program is to help build a strong national data science infrastructure and workforce. The Data Science Corps program seeks to engage data science students in real-world data science implementation projects. This engagement will help bridge the data-to-knowledge gap in organizations and communities at all levels, including local, state, and national, and will empower better use of data for more effective decision making. Data Science Corps participants will be able to sharpen their skills in data science by working on real-world projects focused on specific community needs, including rural communities, urban communities, academia, industry, or government. This partnership between communities and data scientists will serve the nation by helping produce a workforce-ready cohort of data scientists and technologists, who have experience with data science in action in real-world settings. The program welcomes proposals that seek to broaden participation in science, technology, engineering and mathematics (STEM) and STEM education.
This solicitation prompts the community to respond to one or more mechanisms by which to provide students with data science education and training, including in data science issues related to knowledge representation and creation and use of knowledge graphs. The solicitation supports opportunities for undergraduates (including students from community colleges, Minority Serving Institutions, other emerging research institutions as defined in the CHIPS and Science Act, https://www.congress.gov/bill/117th-congress/house-bill/4346, and institutions in EPSCoR jurisdictions), and grade 6-12 teachers and students. When responding to this solicitation, even though proposals must be submitted through the Directorate for STEM Education, Division of Research on Learning in Formal and Informal Settings (EDU/DRL), once received, the proposals will be managed by a cross-disciplinary team of NSF Program Directors
This solicitation grew out of the NSF-wide activity known as Harnessing the Data Revolution (HDR), a national-scale activity to enable new modes of data-driven discovery addressing fundamental questions at the frontiers of science and engineering. HDR has supported an interrelated set of efforts in foundations of data science; data-intensive research in science and engineering; and education and workforce development.
Contact Information:
Please note that the following information is current at the time of publishing. See program website for any updates to the points of contact.
· General inquiries may be addressed to HDR-DSC@nsf.gov.
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 24-560
Version History
| Id | 363866 |
| Revision | 0 |
| Opportunity number | 24-560 |
| Opportunity title | Data Science Corps (DSC) |
| Owning agency code | NSF |
| Opportunity category / Category | D |
| Opportunity category / Description | Discretionary |
| Synopsis / Opportunity id | 363866 |
| Synopsis / Version | 1 |
| 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 | The objective of the Data Science Corps program is to help build a strong national data science infrastructure and workforce. The Data Science Corps program seeks to engage data science students in real-world data science implementation projects. This engagement will help bridge the data-to-knowledge gap in organizations and communities at all levels, including local, state, and national, and will empower better use of data for more effective decision making. Data Science Corps participants will be able to sharpen their skills in data science by working on real-world projects focused on specific community needs, including rural communities, urban communities, academia, industry, or government. This partnership between communities and data scientists will serve the nation by helping produce a workforce-ready cohort of data scientists and technologists, who have experience with data science in action in real-world settings. The program welcomes proposals that seek to broaden participation in science, technology, engineering and mathematics (STEM) and STEM education.
This solicitation prompts the community to respond to one or more mechanisms by which to provide students with data science education and training, including in data science issues related to knowledge representation and creation and use of knowledge graphs. The solicitation supports opportunities for undergraduates (including students from community colleges, Minority Serving Institutions, other emerging research institutions as defined in the CHIPS and Science Act, https://www.congress.gov/bill/117th-congress/house-bill/4346, and institutions in EPSCoR jurisdictions), and grade 6-12 teachers and students. When responding to this solicitation, even though proposals must be submitted through the Directorate for STEM Education, Division of Research on Learning in Formal and Informal Settings (EDU/DRL), once received, the proposals will be managed by a cross-disciplinary team of NSF Program Directors This solicitation grew out of the NSF-wide activity known as Harnessing the Data Revolution (HDR), a national-scale activity to enable new modes of data-driven discovery addressing fundamental questions at the frontiers of science and engineering. HDR has supported an interrelated set of efforts in foundations of data science; data-intensive research in science and engineering; and education and workforce development.
Contact Information: Please note that the following information is current at the time of publishing. See program website for any updates to the points of contact. · General inquiries may be addressed to HDR-DSC@nsf.gov. |
| Synopsis / Response date desc | Funding Opportunity is Archived, Proposals are not accepted |
| Synopsis / Funding desc link url | http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf24560 |
| Synopsis / Funding desc link desc | NSF Publication 24-560 |
| Synopsis / Posting date | Sep 15, 2026 12:00:00 AM EDT |
| Synopsis / Archive date | Sep 16, 2026 12:00:00 AM EDT |
| Synopsis / Cost sharing | No |
| Synopsis / Number of awards | 15 |
| Synopsis / Estimated funding | 10000000 |
| Synopsis / Estimated funding formatted | 10,000,000 |
| Synopsis / Award ceiling | 1200000 |
| Synopsis / Award ceiling formatted | 1,200,000 |
| Synopsis / Award floor | 800000 |
| Synopsis / Award floor formatted | 800,000 |
| Synopsis / Applicant eligibility desc | *Who May Submit Proposals: Proposals may only be submitted by the following: -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. -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. |
| Synopsis / Create time stamp | Sep 15, 2026 09:22:21 AM EDT |
| Synopsis / Created date | Sep 15, 2026 09:22:21 AM EDT |
| Synopsis / Last updated date | Sep 15, 2026 09:22:21 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 / Posting date str | 2026-09-15-00-00-00 |
| Synopsis / Archive date str | 2026-09-16-00-00-00 |
| Synopsis / Create time stamp str | 2026-09-15-09-22-21 |
| 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 | 435406 |
| Cfdas 1 / Opportunity id | 363866 |
| Cfdas 1 / Cfda number | 47.049 |
| Cfdas 1 / Program title | Mathematical and Physical Sciences |
| Cfdas 2 / Id | 435404 |
| Cfdas 2 / Opportunity id | 363866 |
| Cfdas 2 / Cfda number | 47.050 |
| Cfdas 2 / Program title | Geosciences |
| Cfdas 3 / Id | 435407 |
| Cfdas 3 / Opportunity id | 363866 |
| Cfdas 3 / Cfda number | 47.070 |
| Cfdas 3 / Program title | Computer and Information Science and Engineering |
| Cfdas 4 / Id | 435405 |
| Cfdas 4 / Opportunity id | 363866 |
| Cfdas 4 / Cfda number | 47.074 |
| Cfdas 4 / Program title | Biological Sciences |
| Cfdas 5 / Id | 435403 |
| Cfdas 5 / Opportunity id | 363866 |
| Cfdas 5 / Cfda number | 47.075 |
| Cfdas 5 / Program title | Social, Behavioral, and Economic Sciences |
| Cfdas 6 / Id | 435408 |
| Cfdas 6 / Opportunity id | 363866 |
| Cfdas 6 / Cfda number | 47.076 |
| Cfdas 6 / Program title | STEM Education (formerly Education and Human Resources) |
| Cfdas 7 / Id | 435409 |
| Cfdas 7 / Opportunity id | 363866 |
| Cfdas 7 / Cfda number | 47.084 |
| Cfdas 7 / Program title | NSF Technology, Innovation, and Partnerships |
| Cfdas 8 / Id | 435410 |
| Cfdas 8 / Opportunity id | 363866 |
| Opportunity pkgs 1 / Id | 294156 |
| Opportunity pkgs 1 / Topportunity id | 363866 |
| Opportunity pkgs 1 / Family id | 14 |
| Opportunity pkgs 1 / Dialect | XFDL2.2 |
| Opportunity pkgs 1 / Opportunity number | 24-560 |
| Opportunity pkgs 1 / Opportunity title | Data Science Corps (DSC) |
| Opportunity pkgs 1 / Opening date | 2026-09-15 |
| Opportunity pkgs 1 / Closing date | 2026-09-16 |
| 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 | Stephanie D. Teasley E-mail: steasley@nsf.gov Phone: (703) 292-8752 |
| Opportunity pkgs 1 / Electronic required | N |
| Opportunity pkgs 1 / Expected application count | 150 |
| Opportunity pkgs 1 / Expected application size | 50 |
| Opportunity pkgs 1 / Open to applicant type | 1 |
| Opportunity pkgs 1 / Is multi project | N |
| Opportunity pkgs 1 / Extension | |
| Opportunity pkgs 1 / Mimetype | application/pdf |
| Opportunity pkgs 1 / Last update | Sep 15, 2026 09:22:26 AM EDT |
| Opportunity pkgs 1 / Workspace compatible flag | Y |
| Opportunity pkgs 1 / Package id | PKG00294156 |
| Opportunity pkgs 1 / Opening date str | 2026-09-15-00-00-00 |
| Opportunity pkgs 1 / Closing date str | 2026-09-16-00-00-00 |
| Closed opportunity pkgs | Not specified |
| Original due date desc | Funding Opportunity is Archived, Proposals are not accepted |
| Synopsis modified fields | Not specified |
| 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 | 0 |
| 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 |
|---|---|---|---|---|---|---|
| PKG00294156 | 2026-09-15 | 2026-09-16 | View |
