Use our library to explore Data & Society's original empirical research and read our expert commentary. Sort by media type, or select one or more topic categories to begin browsing.

  • podcast
    video
    Databites
    Journalist Sarah Kessler discusses her new book Gigged: The End of the Job and the Future of Work. Kessler shares her analysis of the perils and promises of the platform gig economy in conversation with Data & Society's Ale... Read more
    September 2018
  • podcast
    video
    Databites
    In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities.     Data discrimination... Read more
    May 2018
  • podcast
    video
    Databites
    Virginia Eubanks discusses her most recent book Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor.     Eubanks systematically shows the impacts of data mining, policy algorit... Read more
    January 2018
  • podcast
    video
    Databites
    Tim O'Reilly shares insights from his book WTF: What's the Future and Why It's Up to Us (Harper Collins, 2017).     WTF? can be an expression of amazement or an expression of dismay. In today’s economy, w... Read more
    October 2017
  • podcast
    WNYC The Takeaway
    D&S lawyer-in-residence Rebecca Wexler describes the intersection of automated technologies, trade secrets, and the criminal justice system. For-profit companies dominate the criminal justice technologies industry and prod... Read on WNYC The Takeaway
    June 2017
  • podcast
    video
    Databites
    Rebecca Wexler discusses the automation of the criminal justice system in America and the ownership of new technologies used by law enforcement. Automation is currently driving privatization. Wexler explains that “new criminal ... Read more
    June 2017
  • podcast
    Radio NZ
    D&S researcher Alex Rosenblat was interviewed by Radio NZ about Uber and the promises it makes its drivers, i.e. flexible hours and freedom. Read on Radio NZ
    February 2017
  • podcast
    Data & Society
    D&S advisor Claudia Perlich discusses modeling, transparency, and machine learning in a new episode of the Partially Derivative podcast. “One pitfall I see is that it’s easy from a social science perspective to condemn all... Read on Data & Society
    January 2017
  • podcast
    video
    Data & Society
    Predictive policing systems are increasingly used by law enforcement to try to prevent crime before it occurs. But what happens when these systems are trained using biased data?   Machine learning algorithms ar... Read more
    November 2016
  • podcast
    video
    Data & Society
    As algorithms increasingly mediate education, employment, consumer credit, and the criminal justice system, how do we measure their impact on our society?     Tracing her experiences as a mathematician an... Read more
    October 2016
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