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.

  • Primer
    Data & Society
    This new primer shows that understanding how AI will affect work requires examining how work is organized, how industries are structured, and whose and what work is valued. Read more
    December 2024
  • Primer
    Data & Society
    Wellness Capitalism: Employee Health, the Benefits Maze, and Worker Control explores how employee wellness has been promoted in the US through public policies and government support, and how this has led to a rapidly expanding, data-collecting industry. Read more
    June 2023
  • Primer
    Data & Society
    Technology enables employers to increasingly monitor their employees. This explainer by Alexandra Mateescu and Aiha Nguyen identifies four current trends in workplace monitoring and surveillance: prediction and flagging tools; biometrics and health data; remote monitoring and time-tracking; and gamification and algorithmic management. Read more
    February 2019
  • Primer
    Data & Society
    This explainer by Alexandra Mateescu and Aiha Nguyen defines algorithmic management and reviews how this concept challenges workers’ rights in sectors, including retail, the service industry, and delivery and logistics. The authors outline existing research on the ways that algorithmic management is manifesting across various labor industries, shifting workplace power dynamics, and putting workers at a disadvantage. It can enable increased surveillance and control while removing transparency. Read more
    February 2019
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