
New Books in Technology
Interviews with Scholars of Technology about their New Books Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology
Show episodes

Melissa Villa-Nicholas, "Data Borders: How Silicon Valley Is Building an Industry Around Immigrants" (U California Press, 2023)
Uncle Sam is watching, whether you like it or not. And the surveillance program the United States is building has as its foundation immigrants who have crossed the nation's southern border. In Data Borders: How Silicon Valley is Builidng an Industry Around Immigrants (University of California Press, 2023), UCLA informa
Video (television, film, the moving image generally) is today’s most popular information medium. Two-thirds of the world’s internet traffic is video. Americans get their news and information more often from screens and speakers than through any other means. The Moving Image: A User's Manual (MIT Press, 2025) is the fir
Data and privacy have emerged as critical issues in our digitally interconnected era, profoundly influencing individual rights, societal norms, and democratic processes. In his book, On Privacy and Technology (Oxford UP, 2025), Daniel Solove provides a compelling exploration of the intersection between evolving technol

Lauren E. Bridges on Fantasies and Realities of Digital Transformation and the Data Center Industry
Peoples & Things host, Lee Vinsel, talks with Lauren Bridges, Assistant Professor of Media Studies at the University of Virginia, about her work on the political, economic, and environmental politics of big data infrastructures. They focus on some of Bridges’ work on the disconnect between the promises made to localiti
It’s the UConn Popcast, and what impact will AI have on being human in the next decade? Elon University’s Center for Imagining the Digital Future just released a big report on this question, based on a survey of nearly 300 global tech experts. These insiders predict major changes in the very near future to the way we t

Anita Say Chan, "Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future" (U California Press, 2025)
It’s a common refrain: AI is neither good nor bad because that depends on how its used. Professor Anita Say Chan begs to differ. Chan is the author of Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future (U California Press, 2025). Chan is Associate Professor in the School of Information Science