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    Country
    Opportunity Status
    Funding Instrument Type
    Category
    Clear

    Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation

    24-561

    National Science Foundation

    Opening date 23 Mar 2024, 12:00AM

    Closing date 21 Jun 2024, 12:00AM

    Funding Opportunity Number: 24-561

    Opportunity Category: Discretionary

    Expected Number of Awards: 10

    CFDA Number(s): 47.049 -- Mathematical and Physical Sciences,47.070 -- Computer and Information Science and Engineering,93.310 -- Trans-NIH Research Support

    Cost Sharing or Matching Requirement: No

    Posted Date: Mar 23, 2024 12:00:00 AM EDT

    Closing Date: Jun 21, 2024 12:00:00 AM EDT

    Estimated Total Program Funding: 5000000

    Award Ceiling: none

    Award Floor: none

    Eligible Applicants: Others (see text field entitled "Additional Information on Eligibility" for clarification)

    Additional Information on Eligibility: *Who May Submit Proposals: Proposals may only be submitted by the following: -Institutions of Higher Education (IHEs) - Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members.Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of subawards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus.

    Agency Name: National Science Foundation

    Description: The Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation (FDT-BioTech) program supports inherently interdisciplinary research projects that underpin the mathematical and engineering foundations behind the development and use of digital twins and synthetic data in biomedical and healthcare applications, with a particular focus on digital, in silico models used in the evaluation of medical devices and the relevance of the developed models in addressing current and emerging challenges affecting the development and assessment of biomedical technologies. The goal of the FDT-BioTech initiative is to catalyze biomedical technological innovation through new foundational development of methods and algorithms relevant to digital twins and synthetic humans.

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

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