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: -<ul> <li>Institutions of Higher Education (IHEs) - Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the U.S., acting on behalf of their faculty members.</li> </ul> <ul> <li><span class="TextRun Highlight SCXW63028890 BCX4" lang="EN-US" xml:lang="EN-US" data-contrast="none"><span class="NormalTextRun SCXW63028890 BCX4">Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations </span><span class="NormalTextRun SCXW63028890 BCX4">located</span><span class="NormalTextRun SCXW63028890 BCX4"> in the U.S. that are directly associated with educational or research activities.</span></span><span class="EOP SCXW63028890 BCX4" data-ccp-props="{"></span></li> </ul> <ul> <li>U.S.-based small businesses, as defined by SBA&rsquo;s small business size regulations<a class="sharedcomments-hyperlink" title="https://www.ecfr.gov/current/title-13/chapter-I/part-121" tabindex="0" href="https://www.ecfr.gov/current/title-13/chapter-I/part-121" rel="noreferrer" target="_blank" data-hyperlink="{">13 CFR Part 121</a>, with strong capabilities in scientific or engineering research or education and a passion for innovation. NSF SBIR/STTR recipients are especially encouraged to submit, though NSF welcomes proposals from all interested and qualifying small business concerns, including those funded by other agency SBIR/STTR programs.</li> </ul> *Who May Serve as PI: <ul> <li><span>The PI, co-PIs, or any other senior/key personnel must hold an appointment at an organization that is eligible to submit as described under "Who May Submit Proposals."</span></li> <li>Researchers with primary appointments at overseas branch campuses of U.S. institutions of higher education are not eligible.</li> <li>Researchers from foreign academic institutions who contribute essential expertise to the project may participate as senior/key personnel or collaborators but may not receive NSF support.</li> <li>Individuals affiliated with a partner involved in this solicitation, notably those who are currently employed by, consulting for, or on an active agreement to provide services for the partner, may NOT participate in proposals to the program.</li> </ul>

Agency Name: National Science Foundation

Description: In today’shyperconnected 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 theExecutive 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 theNational 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 enablepractical PPDSA solutions:

• Track 1 projects are expected to be budgeted in the $500K - $1M rangefor up to 2 years

• Track 2 projects are expected to be budgeted in the $1M - $1.5M range for up to 3 years

• Track 3 projects are expected to be budgeted in the $500K - $1.5M range for up to 3 years

The PDaSP program represents the collaborative efforts of the NSF Technology, Innovation and Partnerships (TIP) and Computer and Information Science and Engineering (CISE) directorates, Intel Corporation and VMware LLC as industry partners, and the U.S. Department of Transportation Federal Highway Administration (FHWA) and the U.S. Department of Commerce National Institute of Standards and Technology (NIST) as federal agency partners. Thissolicitation includes partners from both industry and the federal government, and welcomes new partners from both public and private sectors ahead of the proposal submission deadline.PIs will be given the option of having their proposals considered for new partner co-funding based on matching areas of interest.

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