New AI Opportunity: NSF Privacy-Preserving Data Sharing in Practice (PDaSP)
NSF 24-585: Privacy-Preserving Data Sharing in Practice (PDaSP)
Agency webpage: https://new.nsf.gov/funding/opportunities/privacy-preserving-data-sharing-practice-pdasp
The goals of the PDaSP program are aligned with the Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (AI EO), which emphasizes the role for privacy-enhancing technologies (PETs) in a responsible and safe AI future. The EO directs NSF to, “where feasible and appropriate, prioritize research — including efforts to translate research discoveries into practical applications — that encourage the adoption of leading-edge PETs solutions for agencies’ use.” It also tasks NSF with “developing and helping to ensure the availability of testing environments, such as testbeds, to support the development of safe, secure, and trustworthy AI technologies, as well as to support the design, development, and deployment of associated PETs.”
In addition to meeting these directives in the AI EO, the PDaSP program strives to address key recommendations made in the National Strategy to Advance Privacy Preserving Data Sharing and Analytics (PPDSA). In particular, the program strives to advance the strategy’s priority to “Accelerate Transition to Practice,” which includes efforts to “promote applied and translational research and systems development,” develop “tool repositories, measurement methods, benchmarking, and testbeds,” and “improve usability and inclusiveness of PPDSA solutions.”
The PDaSP program welcomes proposals from qualified researchers and multidisciplinary teams in the following tracks with expected funding ranges for proposals as shown below.
Track 1: Advancing key technologies to enable practical PPDSA solutions:
- Track 1 projects are expected to be budgeted in the $500K - $1M range for up to 2 years
Track 2: Integrated and comprehensive solutions for trustworthy data sharing in application settings:
- Track 2 projects are expected to be budgeted in the $1M - $1.5M range for up to 3 years
Track 3: Usable tools, and testbeds for trustworthy sharing of private or otherwise confidential data.
- Track 3 projects are expected to be budgeted in the $500K - $1.5M range for up to 3 years
Important Dates: