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Assembly Series

A tradition of convening thought leaders since 1953

McKelvey School of Engineering

Brown School

A conversation with Mary Ebeling, author of 'Afterlives of Data'

Thursday, March 30, 2023 | 9:30 AM - 10:30 AM

Olin Library, 142
Olin Library, Brookings Dr, St. Louis, MO

Hosted in partnership with The Cordell Institute, Bernard Becker Medical Library and the Institute for Informatics.

Event Type

Lectures & Presentations, Research


Arts & Sciences, Brown School, McKelvey School of Engineering, Olin Business School, School of Law, School of Medicine



Bernard Becker Medical Library, Institute for Informatics, Data Science and Biostatistics


Event Contact

Dre Kimberling | andreak@wustl.edu

Speaker Information

Mary F.E. Ebeling is a professor of sociology and an affiliate faculty member in the centers for science, technology & society, communication, culture & media (CCM), and women’s & gender studies at Drexel University.

Her research examines the intersections of gender, race, digital technologies, data privacy, health marketing and medical capitalism. She was a visiting researcher at the Institute for Informatics (I2) at Washington University School of Medicine in St. Louis, and a fellow at the Wolf Center for the Humanities at the University of Pennsylvania, the University of Surrey, (UK), Victoria University in Wellington (New Zealand), and the Institute for International Education (Fulbright Fellowship) in Zimbabwe. Her research has been funded by the National Science Foundation, the Advertising Education Foundation, the European Union’s 5th Framework, and the Economic & Social Research Council (UK). Her most recent book, "Afterlives of Data: Life and Debt Under Capitalist Surveillance" (University of California Press 2022), examines data and debt subjectivities in healthcare through the cross-sector uses of clinical and other private health information by data brokers for marketing and other non-health related purposes. "Afterlives" reveals the industrial and legislative processes that Big Tech and information companies use to create data commodities.

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