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

Important Information for Proposers

Any proposal submitted in response to this funding opportunity should be submitted in accordance with the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. The NSF PAPPG is regularly revised and it is the responsibility of the proposer to ensure that the proposal meets the requirements specified in this solicitation and the applicable version of the PAPPG. Submitting a proposal prior to a specified deadline does not negate this requirement.

Supports the development of next-generation mathematical and statistical tools, and the theory underpinning those tools, to address computational or Big Data challenges.

Synopsis

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.

Program contacts

Yong Zeng
yzeng@nsf.gov (703) 292-7299 MPS/DMS
Tiziana Giorgi
tgiorgi@nsf.gov (703) 292-8090 MPS/DMS
Jodi Mead
jmead@nsf.gov (703) 292-7212 MPS/DMS
Christopher W. Stark
cstark@nsf.gov (703) 292-4869 MPS/DMS
Tevfik Kosar
tkosar@nsf.gov (703) 292-8970 CISE/OAC

Awards made through this program

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Map of recent awards made through this program