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

Key Facts

Status: Open

Posted date: July 11, 2022

Opportunity ID: 341998

Opportunity number: PD-22-8069

Opportunity category: Discretionary

Agency name: U.S. National Science Foundation

Agency code: NSF

Award floor: $20,000

Award ceiling: $1,000,000

Cost sharing required: No

Funding Instrument Types
  • Grant
Category of Funding Activity
  • Science and Technology and other Research and Development
Eligible Applicants
  • Unrestricted
Tools
Categories (use these for quoted searches)
  • agency_code:nsf
  • category_of_funding_activity:science_and_technology_and_other_research_and_development
  • cost_sharing_or_matching_requirement:false
  • eligible_applicants:unrestricted
  • funding_instrument_type:grant
  • opportunity_category:discretionary
  • status:open
Description

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.

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.
Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences
Open
U.S. National Science Foundation
Science and Technology and other Research and Development
Grant
Unrestricted
2022-07-11