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

Due Dates: Proposals accepted anytime (no fixed deadline)

Funding Amounts: Up to $1,000,000 per award; typical awards range from $20,000 to $1,000,000; estimated total program funding $5,000,000.

Summary: Supports development of next-generation mathematical and statistical tools and theory to address computational and big-data challenges in science and engineering.

Key Information: Proposals must include a PI or co-PI in an area supported by the Division of Mathematical Sciences.

Description

The National Science Foundation's Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences (CDS&E-MSS) program funds research that addresses the mathematical and statistical challenges arising from the increasing role of computational modeling, simulation, and the explosion of digital data from experimental and observational sources. The program aims to foster the creation and development of new mathematical and statistical software tools and the theoretical foundations necessary to tackle these challenges.

Projects must advance mathematics or statistics in a significant way and directly address computational or big-data issues. The program encourages multidisciplinary collaborations and projects that provide training opportunities for junior mathematicians or statisticians. CDS&E-MSS is part of the broader NSF Computational and Data-enabled Science and Engineering (CDS&E) enterprise.

Due Dates

Proposals are accepted at any time; there is no fixed deadline.
Applicants should ensure compliance with the current NSF Proposal & Award Policies & Procedures Guide (PAPPG) at the time of submission.

Funding Amount

Award size: $20,000 to $1,000,000 per project.
Estimated total program funding: $5,000,000.
Number of awards: Approximately 20 per cycle.
Project duration: Typically up to 3 years, but may vary depending on project scope.

Eligibility

Open to all types of organizations, including universities, colleges, non-profits, and for-profit organizations.
Proposals must include a Principal Investigator or co-Principal Investigator who is a researcher in an area supported by the NSF Division of Mathematical Sciences.
Multidisciplinary collaborations and involvement of junior researchers are encouraged.
No cost-sharing or matching requirement.

Application Process

Proposals must be submitted via NSF FastLane, Research.gov, or Grants.gov.
Follow the requirements in the current NSF Proposal & Award Policies & Procedures Guide (PAPPG).
Proposals are reviewed on a rolling basis.
Ensure the project aligns with the goals of the CDS&E-MSS program and includes the required mathematical/statistical focus.

Additional Information

Awards made on or after October 1, 2024, are subject to updated NSF award conditions in line with revised federal guidance.
Proposals should clearly articulate the mathematical/statistical innovation and its relevance to computational or data-enabled science and engineering.
The program is particularly interested in projects that provide research training for junior mathematicians or statisticians.

External Links

Contact Information

Name	Email	Phone	Organization
Jodi Mead	jmead@nsf.gov	(703) 292-7212	MPS/DMS
Lisa G. Davis	lgdavis@nsf.gov	(703) 292-5190	MPS/DMS
Tapabrata Maiti	tmaiti@nsf.gov	(703) 292-5307	MPS/DMS
Christopher W. Stark	cstark@nsf.gov	(703) 292-4869
Yong Zeng	yzeng@nsf.gov	(703) 292-7299	MPS/DMS

For general NSF inquiries:

Email: info@nsf.gov
Phone: 1-703-292-5111
NSF Contact Page