privacy

OpenDP: open-source software tools for privacy-protective statistical analysis of sensitive personal data.

The COVID-19 pandemic has underscored the importance of developing analytical pipelines that leverage data streams generated by individuals and communities to drive data-driven responses to crises. As these data increasingly exchange hands within agencies and are shared publicly for broader research, Salil Vadhan from Harvard SEAS and Navin Vembar from Camber Systems discuss the inadequacy of traditional methods for the protection of sensitive personal data.

Mobility Data and the Limits of Data Protection Frameworks

The near real-time information about human movement provided by aggregated population mobility data has tremendous potential to help refine interventions when appropriate legal, organizational, and computational safeguards are in place. As the private sector, policymakers, and academia work together to leverage novel sources of data to track the spread of the pandemic, Randall Harp, Laurent H├ębert-Dufresne, and Juniper Lovato from the University of Vermont argue that anonymization at the individual level is insufficient– the notion of privacy should extend to communities as well.