Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences  (CDS&E-MSS)

Name Email Phone Room
Yong  Zeng (703) 292-7902  DMS  
Malgorzata  Peszynska (703) 292-2811  DMS  
Andrew  D. Pollington (703) 292-4878  E 8451  


Apply to PD 20-8069 as follows:

For full proposals submitted via FastLane: standard NSF Proposal & Award Policies & Procedures Guide proposal preparation guidelines apply.
For full proposals submitted via the NSF Application Guide: A Guide for the Preparation and Submission of NSF Applications via Guidelines applies. (Note: The NSF Application Guide is available on the website and on the NSF website at:

Important Information for Proposers

A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 20-1), is effective for proposals submitted, or due, on or after June 1, 2020. Please be advised that, depending on the specified due date, the guidelines contained in NSF 20-1 may apply to proposals submitted in response to this funding opportunity.


Full Proposal Window

    September 1, 2021 - September 15, 2021

    September 1 - September 15, Annually Thereafter


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 NSF Computational and Data-enabled Science and Engineering (CDS&E) enterprise.



What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)

Map of Recent Awards Made Through This Program