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Thursday, June 4
1:00 PM EDT

Join us for a virtual event with Nick Couldry and Ulises Ali Mejias, the authors of The Costs of Connection, in conversation with Safiya Umoja Noble.
The COVID-19 crisis has increased our dependence on digital connection during times of social distancing, making us more vulnerable to privacy-threatening mechanisms. As a result, the global pandemic represents a golden opportunity for the forces of data colonialism to extend their activities to tracking and extracting value from every aspect of our lives. In conversation with Safiya Umoja Noble, Nick Couldry and Ulises Ali Mejias, authors of The Costs of Connection, explain the dynamics of this emergent form of colonialism as a force for reordering social and economic life, entrenching corporate and state power, and deepening inequality. But how can data colonialism be resisted during this unique challenge?

NICK COULDRY is Professor of Media Communications and Social Theory at the London School of Economics and Political Science and Faculty Associate at the Berkman Klein Center for Internet and Society at Harvard University.

ULISES ALI MEJIAS is Associate Professor of Communication Studies and director of Communication Studies and director of the Institute for Global Engagement at the State University of New York, College at Oswego.

SAFIYA UMOJA NOBLE is an Associate Professor at the University of California, Los Angeles (UCLA) in the Department of Information Studies where she serves as the Co-Director of the UCLA Center for Critical Internet Inquiry. She also holds appointments in African American Studies and Gender Studies. She is the author of a best-selling book on racist and sexist algorithmic bias in commercial search engines, entitled Algorithms of Oppression: How Search Engines Reinforce Racism (NYU Press).

This event is free but you will need to register. We’ll send you the Zoom link shortly before the event.
Register here
Save $10 when you order the book on the Stanford University Press website using discount code ConnectionEvent.
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