Opportunity Title:
Privacy-Preserving Data Sharing in Practice
Funder/Agency:
National Science Foundation (NSF)
Opportunity Number:
24-585
Description:
In today’s hyperconnected and device-rich world, increasing computational power and the explosive growth of data present us with tremendous opportunities to enable data-driven, evidence-based decision-making capabilities to accelerate scientific discovery and innovation. However, to be able to responsibly leverage the insights from and power of data, such as for training powerful artificial intelligence (AI) models, it is important to have practically deployable and scalable technologies that allow data sharing in a privacy-preserving manner. While there has been significant research progress in privacy-related areas, privacy-preserving data sharing technologies remain at various levels of maturity in terms of practical deployment.
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.”
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
Eligibility:
Institutions of Higher Education (IHEs)
U.S.-based small businesses
Non-profit, non-academic organizations - Independent museums, observatories, research laboratories, professional societies
Award Details:
Total Amount Available:
$23,000,000
Maximum Award:
$1,500,000
Minimum Award:
$500,000
Deadline:
Applications Due September 27, 2024
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