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Cybersecurity Innovation for Cyberinfrastructure

U.S. National Science Foundation

25-531

NSF

General Information

$12,000,000
Est. Program Funding:
April 2, 2025
Closing Date:
20
Expected No. of Awards
$1,200,000
Award Ceiling

Opportunity Number:
25-531

Owning Agency:
NSF

Opportunity Category:
Discretionary (D)

Synopsis

The objective of the Cybersecurity Innovation for Cyberinfrastructure (CICI) program is to advance scientific discovery and innovation by enhancing the security and privacy of cyberinfrastructure. CICI supports efforts to develop, deploy and integrate cybersecurity that will benefit the broader scientific community by securing science data, computation, collaborations workflows, and infrastructure. CICI recognizes the unique nature of modern, complex, data-driven, distributed, rapid, and collaborative science and the breadth of infrastructure and requirements across scientific disciplines, practitioners, researchers, and projects. CICI seeks proposals in four program areas: 1.  Usable and Collaborative Security for Science (UCSS): Projects in this program area should support novel and/or applied security and usability research that facilitates scientific collaboration, encourages the adoption of security into the scientific workflow, and helps create a holistic, integrated security environment that spans the entire scientific cyberinfrastructure ecosystem. 2.  Reference Scientific Security Datasets (RSSD): Projects in this program area should leverage instrumented cyberinfrastructure to capture metadata from scientific workflows and workloads as reference data artifacts that can help support reproducible security research, testing and evaluation. 3.  Transition to Cyberinfrastructure Resilience (TCR): Projects in this program area should improve the robustness, trustworthiness, integrity, and/or resilience of scientific cyberinfrastructure through testing, evaluation, hardening, validation, and technology transition of novel cybersecurity research. The TCR area further encourages transition activities that advance the deployment and use of reproducibility in CI, workflows, and data. 4.  Integrity, Provenance, and Authenticity for Artificial Intelligence Ready Data (IPAAI): Projects in this program area should enhance confidence and reproducibility in AI produced scientific results by improving the integrity, provenance, and authenticity of scientific datasets used by Artificial Intelligence systems.
Response Date Jan 21, 2026 12:00:00 AM EST
Posting Date Jan 04, 2025 12:00:00 AM EST
Archive Date Feb 15, 2030 12:00:00 AM EST
Award Ceiling 1,200,000
Award Floor N/a
Cost Sharing No

Eligibility

Eligible Applicants Others (see text field entitled "Additional Information on Eligibility" for clarification)
Additional Info 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. -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 sub-awards 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.

Additional Information

Agency Name U.S. National Science Foundation
Link to Additional Information: NSF Publication 25-531
Grantor Contact Information: If you have difficulty accessing the full announcement electronically, please contact: GrantSolutions Help Desk
Phone: 703-292-4203

CFDA Program(s)

  • 47.070: Computer and Information Science and Engineering
   

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