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    Country
    Opportunity Status
    Funding Instrument Type
    Category
    Clear

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

    PD-22-8069

    National Science Foundation

    Opening date 11 Jul 2022, 12:00AM

    Closing date N/A

    Funding Opportunity Number: PD-22-8069

    Opportunity Category: Discretionary

    Expected Number of Awards: 20

    CFDA Number(s): 47.049 -- Mathematical and Physical Sciences,47.070 -- Computer and Information Science and Engineering

    Cost Sharing or Matching Requirement: No

    Posted Date: Jul 11, 2022 12:00:00 AM EDT

    Closing Date: N/A

    Closing Date Details: Proposals accepted anytime

    Estimated Total Program Funding: 5000000

    Award Ceiling: $1000000

    Award Floor: $20000

    Eligible Applicants: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"

    Agency Name: National Science Foundation

    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.

    Grantor Contact Information: NSF grants.gov support grantsgovsupport@nsf.gov

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