The purpose of this workshop is to bring together scholars who wish to grapple with the state of public-sector data infrastructures, with the longer term goal of establishing methods of protection, repair, and trust-building at a societal level. While governments collect data for innumerable purposes, we are particularly interested in the data infrastructure underpinning four epistemic efforts we see as operating at the crossroads of societal urgency and long-term democratic resilience: 1) Climate science; 2) Public health (e.g., pandemics, vaccines); 3) Democratic purposes (e.g., voting, census); 4) Economic modeling (e.g. labor statistics, employment data). In an American context, we are thinking about the data infrastructures underpinning federal agencies like the CDC, EPA, NOAA, BLS, HHS, Census, Department of Energy, etc. as well as the various state, tribal, and local data sources that operate within non-federal contexts.
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Source: Data & Society — Trust and Doubt in Public-Sector Data Infrastructures