Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences (341998)

National Science Foundation (NSF)

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Deadline: Rolling

Grant amount: US $20,000 - US $1,000,000

Fields of work: Computer Science & Engineering Mathematics Data Science & Digital Information Systems

Applicant type: Organizations

Funding uses: Research

Location of project: United States

Location of residency: United States

Overview:

The CDS&E-MSS program accepts proposals that engage with the mathematical and statistical challenges presented by

  •  the ever-expanding role of computational experimentation, modeling, and simulation on the one hand, and
  •  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.

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This page was last reviewed February 26, 2024 and last updated May 21, 2023