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

The summary for the Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the U.S. National Science Foundation, which is the U.S. government agency offering this grant.
Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences: 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.
Federal Grant Title: Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences
Federal Agency Name: U.S. National Science Foundation (NSF)
Grant Categories: Science and Technology and other Research and Development
Type of Opportunity: Discretionary
Funding Opportunity Number: PD-20-8069
Type of Funding: Grant
CFDA Numbers: 47.049, 47.070
CFDA Descriptions: Information not provided
Current Application Deadline: July 7th, 2025
Original Application Deadline: July 7th, 2025
Posted Date: June 6th, 2025
Creation Date: June 6th, 2025
Archive Date: June 7th, 2025
Total Program Funding: $5,000,000
Maximum Federal Grant Award: $1,000,000
Minimum Federal Grant Award: $20,000
Expected Number of Awards: 20
Cost Sharing or Matching: No
Last Updated: June 6th, 2025
Applicants Eligible for this Grant
Unrestricted (i.e., open to any type of entity below), subject to any clarification in text field entitled "Additional Information on Eligibility"
Link to Full Grant Announcement
NSF Program Desccription PD-20-8069
Grant Announcement Contact
NSF grants.gov support
[email protected]
If you have any problems linking to this funding announcement, please contact the email address above.
Similar Government Grants
Materials Research Science and Engineering Centers
Division of Physics: Investigator-Initiated Research Projects
Centers for Chemical Innovation
Advanced Technologies and Instrumentation for the Astronomical Sciences
Emerging Mathematics in Biology
Foundations
Polymers (POL)
Program for Research and Education with Small Telescopes (PREST)
More Grants from the U.S. National Science Foundation
Small Business Innovation Research / Small Business Technology Transfer Phase I, Phase II,...
EDU Core Research
Engineering Environmental Resiliency (EER)
Engineering Biological and Biomedical Systems (EBBS)
Transport Phenomena (TP)

FederalGrants.com is not endorsed by, or affiliated with, any government agency. Copyright ©2007-2026 FederalGrants.com