Data Science Corps (DSC) — U.S. National Science Foundation funding opportunity
U.S. National Science Foundation · Federal agency

Data Science Corps (DSC)

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 scienc...

61
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Award $800k–$1.2M Deadline Fixed Location Alabama Type grant Level Federal Open posted Sep 15, 2026
✦ AI Summary
  • Who can apply: Federal-level applicants (see eligibility for details).
  • Funding amount: $800,000 – $1,200,000, total pool ~$10,000,000.
  • Issued by: U.S. National Science Foundation.
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How was this generated?

The “key facts” mode pulls structured fields directly from the official source posting (amount, deadline, eligibility tags). The AI mode adds a short plain-English narrative on top, generated from the same source. Always verify with the agency before applying.

AI-generated. Always verify with the official source.

Who can apply — at a glance

  • Eligible applicants: see the Eligibility tab for the criteria from the official announcement.
  • Where: Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming, District of Columbia.
  • Award: $800k–$1.2M. Total program pool: $10,000,000.
  • Matching funds: not required.
  • Deadline type: Fixed.

Compiled from the official listing's structured fields — always verify with the funder before applying.

About the funder

U.S. National Science Foundation is a federal-level funder.

See all 836 open programs from this agency →

Award amount
$800k–$1.2M
Deadline
Fixed
Total pool
$10M

About this opportunity

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 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 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 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@

Funding agency

U.S. National Science Foundation
Federal agency

Tags

Technology & Software Education & Research Construction & Housing Minority-Owned Business Rural Development Transportation & Logistics Science, Tech & Engineering (STEM)
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Who can apply

Eligibility details aren't on file yet — check the agency source link in the Documents tab for the latest rules.

Geographic eligibility

  • Alabama
  • Alaska
  • Arizona
  • Arkansas
  • California
  • Colorado
  • Connecticut
  • Delaware
  • Florida
  • Georgia
  • Hawaii
  • Idaho
  • Illinois
  • Indiana
  • Iowa
  • Kansas
  • Kentucky
  • Louisiana
  • Maine
  • Maryland
  • Massachusetts
  • Michigan
  • Minnesota
  • Mississippi
  • Missouri
  • Montana
  • Nebraska
  • Nevada
  • New Hampshire
  • New Jersey
  • New Mexico
  • New York
  • North Carolina
  • North Dakota
  • Ohio
  • Oklahoma
  • Oregon
  • Pennsylvania
  • Rhode Island
  • South Carolina
  • South Dakota
  • Tennessee
  • Texas
  • Utah
  • Vermont
  • Virginia
  • Washington
  • West Virginia
  • Wisconsin
  • Wyoming
  • District of Columbia

How to apply

We don't have application instructions on file yet — head straight to the official source.

Apply on agency site
Tip from our team:

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Source documents

View on agency site
Canonical NOFO, application packet, and forms
No supplemental documents yet.

Direct downloads (NOFO PDFs, application forms, FAQs) will appear here once our team attaches them. For now, the agency site has the canonical packet.

Citation details

Source systemgrants.gov
Source ID363866
PostedSep 15, 2026

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