Closed · PD-20-8069 · CFDA 47.049;47.070 · Discretionary

Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences

Federal grant opportunity posted by U.S. National Science Foundation, cataloged on Grants.gov.

$20K-$1M
Award range
Closed
Status
-
Close date
20
Expected awards

The verdict

Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences is a closed discretionary listing from U.S. National Science Foundation that offered $20,000 -- $1,000,000 across 20 expected awards. Future funding cycles may be published under the same CFDA number.

$20K-$1M
award range
Closed
application status
20
expected awards
47.049;47.070
CFDA program

Opportunity snapshot. This Grants.gov announcement - Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences - is cataloged under number PD-20-8069 and tied to CFDA assistance listing 47.049;47.070, posted by U.S. National Science Foundation. Grants.gov currently shows the opportunity as closed, first posted on June 6, 2025. The funding category is Discretionary, delivered as a grant.

Award economics. The award range on file is $20,000 -- $1,000,000. The agency has projected $5.0 million in total estimated funding for this announcement. It expects to issue 20 awards. If the agency funds the expected 20 awards from the $5.0 million estimated pool, the average award works out to roughly $250,000. Cost sharing is not required, so applicants do not need to commit matching funds to be competitive on this opportunity. Federal award ranges are often upper bounds; actual allocations reflect program appropriations, the strength of the applicant pool, and the evaluation committee's scoring.

Deadline and action path. This opportunity is closed. Monitoring the parent program page is the most reliable way to catch re-announcements in the next funding cycle. Every Grants.gov submission requires an active SAM.gov registration and a Unique Entity ID. Review the Eligibility section below carefully, federal eligibility categories (nonprofit, state or local government, tribal, individual, educational institution, small business) have distinct registration and reporting requirements. Pre-application outreach to the listed agency contact is permitted and often welcomed, it helps clarify scope and scoring priorities. Before acting on the deadline or award figures above, verify them directly on the official Grants.gov listing, amendments can change dates and amounts after this page was last refreshed.

Award Range

$20,000 -- $1,000,000

Close Date

Not specified

Opportunity is Archived

Posted

June 6, 2025

Est. Total Funding

$5,000,000

Expected Awards

20

Instrument

Grant

Description

The CDS&E-MSS program accepts proposals that engage with the mathematical and statistical challenges presented by (1) the ever-expanding role of computational experimentation, modeling, and simulation on the one hand, and (2) the explosion in production and analysis of digital data from experimental and observational sources on the other. The goal of the program is to promote the creation and development of the next generation of mathematical and statistical software tools, and the theory underpinning those tools, that will be essential for addressing these challenges. The research supported by the CDS&E-MSS program will aim to advance mathematics or statistics in a significant way and will address computational or big-data challenges. Proposals of interest to the program must include a Principal Investigator or co-Principal Investigator who is a researcher in an area supported by the Division of Mathematical Sciences. The program welcomes submission of proposals that include multidisciplinary collaborations or provide opportunities for training through research involvement of junior mathematicians or statisticians.This program is part of the wider NSFComputational and Data-enabled Science and Engineering (CDS&E) enterprise.

Eligibility

Grants.gov lists this opportunity under eligibility category code 99. These codes correspond to applicant types (state/local government, tribal organization, nonprofit, educational institution, individual, small business, etc.) defined in Grants.gov's own eligibility reference. See the current Grants.gov eligibility categories or check the official listing below for this opportunity's exact eligibility statement.

Official Listing on Grants.gov

View full details, application forms, and submission instructions.

View on Grants.gov

Agency Contact

NSF grants.gov support grantsgovsupport@nsf.gov

Key Dates

Posted June 6, 2025
Close Date Not specified
Archive Date June 7, 2025
Last Updated June 6, 2025

Frequently Asked Questions

What is this grant opportunity?
This is a federal funding opportunity titled "Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences", offered by U.S. National Science Foundation. It is associated with CFDA program 47.049;47.070. The CDS&E-MSS program accepts proposals that engage with the mathematical and statistical challenges presented by (1) the ever-expanding role of computational experimentation, modeling, and simulation...
Is this opportunity still open?
No, this opportunity is closed. Check the parent program page for future funding cycles.
How much funding is available?
The award range for this opportunity is $20,000 -- $1,000,000. Total estimated funding: $5,000,000. Expected number of awards: 20.
How do I apply?
Applications for federal grant opportunities are typically submitted through Grants.gov. Visit the official listing at grants.gov for application instructions, required documents, and submission deadlines.

Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.

Data sourced from the SAM.gov Assistance Listings and Grants.gov. See our methodology for details. Retrieved and formatted by PlainGrants Editorial