Resources

This comparative reference chart covers seven PETs — Differential Privacy, Synthetic Data, Federated Learning, Trusted Execution Environments, Secure Multi-Party Computation, Homomorphic Encryption, and Zero-Knowledge Proofs — across six dimensions: approach, benefits, limitations, example use case, data utility impact, and implementation complexity. The chart is designed as a standalone reference for practitioners who need to quickly […]

Educational research answers questions about program effectiveness, equity, access, and long‑term outcomes. EdTech vendors typically need student-level data and enough context to ensure their research is effective and accomplishes their goal. At the same time, disclosing student data to EdTech vendors may increase the risk of reidentification. The risk is not limited to direct identifiers […]

Educational research answers questions about program effectiveness, equity, access, and long‑term outcomes. Researchers typically need student-level data and enough context to ensure their research is effective and accomplishes their goal. At the same time, disclosing student data to researchers may increase the risk of reidentification. The risk is not limited to direct identifiers such as […]

This report describes the Privacy-Enhancing Technologies (PETs) most relevant to State Education Agencies (SEAs) and Statewide Longitudinal Data Systems (SLDS) environments, explains what each can and cannot do analytically and operationally, and provides use case guidance for matching PET selection to specific workflows. PETs complement rather than replace strong governance — data minimization, least-privilege access, […]

What Can States Learn From New York’s Approach to Student Privacy? New Future of Privacy Forum analysis highlights the benefits of New York’s regional, shared-services approach to implementing its student privacy policies. Work Smarter Not Harder provides an overview of New York’s current education privacy laws and infrastructure, which is centered on regional shared service organizations. […]

The Future of Privacy Forum (FPF) welcomes the opportunity to submit comments in response to the Federal Trade Commission (FTC)’s Advanced Notice of Proposed Rulemaking (ANPRM) to address “unfair” or “deceptive” practices involving fees for online food retail and food delivery platforms.1 FPF is a global non-profit organization dedicated to advancing principled and pragmatic data […]

The Educator’s Guide to Student Privacy, written by teachers for teachers, covers several topics, including: Why should classroom teachers care about student data privacy? There are legal and ethical restrictions that impact districts, school, and teachers. Traditionally, student data consisted of things like attendance, grades, discipline records, and health records. Access to that data used to […]

As governments around the world strengthen protections for children online, Brazil’s “Digital ECA” (Estatuto Digital da Criança e do Adolescente) represents a major step forward in regulating digital environments for young people. In this recorded discussion, FPF Policy Counsel for Global Privacy Maria Badillo and FPF Policy Counsel for U.S. Legislation Daniel Hales, moderated by […]

As Africa’s digital economy continues to grow, countries across the continent are actively updating their data protection frameworks to keep pace with emerging technologies such as artificial intelligence and broader digital transformation. This recorded discussion is based on a recent and relevant analysis by the Future of Privacy Forum (FPF) examining data protection reforms across […]

This resource provides an overview of how data is used to inform pricing; contextualizes data-driven pricing in existing U.S. law, enforcement activity, and emerging legislation; and recommends a number of best practices for guiding retail and e-commerce platforms in using data responsibly when it affects pricing. These practical recommendations, developed in consultation with companies working to […]