Research Coordination Network for Privacy-Preserving Data Sharing and Analytics Focused on Artificial Intelligence

> Research Coordination Network for Privacy-Preservi...

With the support of grants from the Department of Energy and National Science Foundation, FPF is building a Research Coordination Network (RCN) for Privacy-Preserving Data Sharing and Analytics running through June 2027. The RCN analyzes and promotes the trustworthy adoption of Privacy Enhancing Technologies (PETs) in the context of artificial intelligence (AI) and other key technologies. Our goal is to support the development, deployment, and scaling of PETs in support of socially beneficial data sharing and analytics.

The RCN convenes a multidisciplinary, cross-sector, and international primary network (Expert Group) of scholars and practitioners who use and develop PETs and understand the risks of data sharing and analytics for individuals, marginalized and vulnerable groups, civil rights, and civil liberties. A secondary sub-network of high-level privacy commissioners and related experts (Regulator Sub-Group) will inform and respond to the primary network, identifying opportunities to address legal frameworks relevant to PETs adoption.

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The RCN will assess and converge on PETs governance as we progress to facilitate national and international data sharing and collaboration for scientific discovery, industry, and AI. We will develop and share new guidance to accelerate progress toward a privacy-preserving data-sharing and analytics ecosystem. This work will be successful when we see broad PETs use via new technology, laws and regulations, standards, or certifications.

The work of this grant is led by an expert steering committee, which includes:

The Research Coordination Network (RCN) for Privacy-Preserving Data Sharing and Analytics is supported by the U.S. National Science Foundation under Award #2413978 and the U.S. Department of Energy, Office of Science under Award #DE-SC0024884.

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