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Science and Technology and other Research and Development/ Privacy-Preserving Data Sharing/ Practice

Privacy-Preserving Data Sharing in Practice (NSF Grant 24-585)

Summary

The National Science Foundation (NSF) is offering grants through the Privacy-Preserving Data Sharing in Practice (PDaSP) program. This program aims to fund research that develops practical and secure methods for sharing data while protecting privacy.

Funding

  • Total program funding: $23,000,000
  • Award ceiling: $1,500,000
  • Award floor: $500,000

Eligibility

  • Institutions of higher education (accredited in the U.S.)
  • Non-profit, non-academic organizations located in the U.S. with research activities
  • U.S.-based small businesses with research or education capabilities

Program Tracks

  • Track 1: Develop key technologies for practical data sharing ($500,000 – $1,000,000, up to 2 years)
  • Track 2: Create comprehensive solutions for specific applications ($1,000,000 – $1,500,000, up to 3 years)
  • Track 3: Build usable tools and testbeds for secure data sharing ($500,000 – $1,500,000, up to 3 years)

Important Dates

  • Application deadline: September 27, 2024

Additional Information

  • Full announcement: [National Science Foundation (NSF)]Publication 24-585
  • Contact: grantsgovsupport@nsf.gov

Program Goals

  • Align with the Executive Order on AI to promote the use of privacy-enhancing technologies (PETs)
  • Address recommendations from the National Strategy to Advance Privacy Preserving Data Sharing and Analytics (PPDSA)

Program Partners

  • NSF Technology, Innovation and Partnerships (TIP) directorate
  • NSF Computer and Information Science and Engineering (CISE) directorate
  • Intel Corporation
  • VMware LLC
  • U.S. Department of Transportation Federal Highway Administration (FHWA)
  • U.S. Department of Commerce National Institute of Standards and Technology (NIST)

Program Goals

  • Align with the National Strategy to Advance Privacy Preserving Data Sharing and Analytics (PPDSA), specifically its focus on “Accelerate Transition to Practice”. This translates to:
    • Encouraging applied research with practical applications.
    • Developing tools, measurement methods, and testbeds for PPDSA solutions.
    • Making PPDSA solutions more usable and accessible.
  • Align with the Executive Order on AI (AI EO), which emphasizes the importance of privacy-enhancing technologies (PETs) for responsible development and use of AI.
    • The NSF is tasked with prioritizing research that translates into practical PETs for agencies.
    • The NSF is also responsible for developing testbeds to support the development of secure and trustworthy AI and PETs.

Program Partners

  • In addition to the NSF, the PDaSP program involves collaboration with:
    • Industry partners: Intel Corporation and VMware LLC
    • Federal agency partners:
      • U.S. Department of Transportation Federal Highway Administration (FHWA)
      • U.S. Department of Commerce National Institute of Standards and Technology (NIST)
  • The program welcomes new partners from both public and private sectors.

Program Tracks

The program offers funding for three tracks with specific focuses:

  1. Track 1: Advancing Key Technologies ($500,000 – $1,000,000, up to 2 years)

    • This track funds projects that develop core technologies enabling practical data sharing while preserving privacy.
  2. Track 2: Integrated Solutions ($1,000,000 – $1,500,000, up to 3 years)

    • This track supports the creation of comprehensive solutions for data sharing in specific application settings, ensuring trustworthiness.
  3. Track 3: Usable Tools and Testbeds ($500,000 – $1,500,000, up to 3 years)

    • This track funds the development of user-friendly tools and testbeds that facilitate secure sharing of private or confidential data.

Eligibility

  • Institutions of higher education accredited in the U.S. (including community colleges)
  • Non-profit, non-academic organizations located in the U.S. with research activities
  • U.S.-based small businesses with research or educational capabilities
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