shadow shadow shadow shadow shadow
    Country
    Opportunity Status
    Funding Instrument Type
    Category
    Clear

    Advanced Computing Systems & Services: Adapting to the Rapid Evolution of Science and Engineering Research 2.0

    24-583

    National Science Foundation

    Opening date 19 Jun 2024, 12:00AM

    Closing date 29 Oct 2024, 12:00AM

    Funding Opportunity Number: 24-583

    Opportunity Category: Discretionary

    Expected Number of Awards: 3

    CFDA Number(s): 47.070 -- Computer and Information Science and Engineering

    Cost Sharing or Matching Requirement: No

    Posted Date: Jun 19, 2024 12:00:00 AM EDT

    Closing Date: Oct 29, 2024 12:00:00 AM EDT

    Estimated Total Program Funding: 60000000

    Award Ceiling: $20000000

    Award Floor: $10000000

    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: -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. -Other Federal Agencies and Federally Funded Research and Development Centers (FFRDCs): Contact the appropriate program before preparing a proposal for submission. -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 intent of this solicitation is to request proposals from organizations who are willing to serve as resource providers within the NSF Advanced Computing Systems and Services (ACSS) program. Resource providers would (1) provide advanced cyberinfrastructure (CI) resources in production operations to support the full range of computation, data-analysis, and AI research across all of science and engineering (S&E), and (2) enable democratized and equitable access to the proposed resources. The current solicitation is intended to complement previous NSF investments in advanced computational infrastructure by provisioning resources, broadly defined in this solicitation to include systems and services, in two categories:

    • Category I, Capacity Resources: production computational resources maximizing the capacity provided to support the broad range of computation, data analytics and AI needs in S&E research; and
    • Category II, Innovative Prototypes/Testbeds: innovative forward-looking capabilities deploying novel technologies, architectures, usage modes, etc., and exploring new target applications, methods, and paradigms.
    Resource Providers supported via this solicitation will be incorporated into NSF’s ACSS 2.0 program portfolio. This program complements investments in leadership-class computing and funds a federation of nationally available advanced computing resources that are technically diverse and intended to enable discoveries at a computational scale beyond the research of individual or regional academic institutions. NSF anticipates that at least 90% of the provisioned resource will be available to the S&E community through an open peer-reviewed national allocation process and have resource users be supported by community and other support services. Such allocation and support services are expected to be coordinated through the NSF-funded Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) , the National AI Research Resource, or an NSF-approved alternative as may emerge. Provisioning novel, diverse computational resources nationally at scale will require capability and capacity to support researchers who need assistance to use these resources. User support may be provided via various means, e.g., training sessions, documentation, direct engagement in response to tickets created via the ACCESS program, or integration of novel, NSF-funded software tools. The ACSS 2.0 Program seeks broad representation of PIs across the full spectrum of diverse community talent (including the participation of groups that have traditional been underrepresented in the cyberinfrastructure community) and institutions (including those that have not historically provided nationally allocatable cyberinfrastructure) in both the community of resource recipients and resources users to continue growing the scale and diversity of the S&E community. Submission from or partnership with EPSCoR institutions and institutions that have not previously received ACSS awards is encouraged.

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

    We use cookies and similar technologies that are necessary to operate the website.Please read our cookie policy.

    We use cookies and similar technologies that are necessary to operate the website. Additional cookies are only used with your consent. We use the additional cookies to perform analyses of website usage and to check marketing measures for their efficiency. These analyses are carried out to provide you with a better user experience on the website. You are free to give, deny, or withdraw your consent at any time by using the "cookie settings" link at the bottom of each page. You can consent to our use of cookies by clicking "Agree". For more information about what information is collected and how it is shared with our partners, please read our cookie policy.

    • Required to run the website
    • Monitoring website usage and optimizing the user experience
    • Evaluation of marketing actions
    • Storage of your preferences from previous visits
    • Collecting user feedback to improve our website
    • Recording of your interests in order to provide customised content and offers
    Cookie Settings Accept