Privacy, Mobility, & Policy: Understanding Re-identification Risks in Mobility Data

Privacy, Mobility, & Policy

Understanding Re-identification Risks in Mobility Data

About this webinar

Questions of how re-identifiable mobility data is—and whether individual location traces can be sufficiently anonymized—have become increasingly prominent as governments around the world seek to utilize mobility data for various policy and regulatory purposes. To de-mystify this issue, Privacy Analytics recently conducted a study in partnership with Uber to quantify the privacy risks associated with government access to individual-level mobility data. This webinar expands upon the findings of this collaboration and provides insight into the broader context and importance of this research in the mobility sector.

Watch the webinar and download a copy of Privacy Analytics’ summary report, which evaluates the re-identification risks of Uber’s dataset for California Public Utilities Commission (CPUC).

Presenter(s)

Uttara Sivaram is the Head of Privacy and Security Public Policy at Uber. Her work is focused on developing data protection standards that can be implemented by public, private, and non-profit sectors alike. In this context, Uttara leads Uber’s initiatives in pushing forward research and discourse on data governance, de-identification, and differential privacy techniques with leading research and advocacy organizations around the world. Prior to joining Uber, Uttara worked in the energy sector, developing data and energy-efficiency products for public utilities and contributing to research on emissions modeling at the Carnegie Endowment for International Peace in Washington D.C. Uttara holds Bachelor’s and Master’s degrees in Public Policy from Stanford University.

Uttara Sivaram

Global Head of Privacy & Security Public Policy, Uber