Sareeta Amrute

Sareeta Amrute is the Director of Research at the Data & Society Research Institute, New York, and Associate Professor of Anthropology at the University of Washington, Seattle. Her research is focused on the integration of humans and technologies, particularly how race and class are revisited and remade in sites of new economy work such as coding and software economies.

Sareeta’s recent book, Encoding Race, Encoding Class: Indian IT Workers in Berlin, is an  account of the relationship between cognitive labor and embodiment, told through the stories of programmers from India who move within migration regimes and short-term coding projects in corporate settings. Encoding Race, Encoding Class was awarded the 2017 Diana Forsythe Prize in the anthropology of science, technology, and medicine, conferred jointly by the Committee for the Anthropology of Science, Technology and Computing and the Society for the Anthropology of Work, and the 2019 International Convention of Asian Studies Book Prize for the Social Sciences.

Selected Publications:
  1. Amrute, S. (2020). Immigrant sensibilites in tech worlds: Sensing hate, capturing dissensus. Cultural Anthropology, 35(3), 374-403.
  2. Amrute, S., Rosenblat, &., & Callaci, B. (2020). The robots are just automated management tools. Data & Society Points.
  3. Amrute, S., Rosenblat, A., & Callaci, B. (2020). Why are good jobs disappearing if robots aren’t taking them? Data & Society Points.
  4. Amrute, S. (2020). Automation won’t keep front-line workers safe. Slate.
  5. Amrute, S. (2020). Bored techies being casually racist: Race as algorithm. Science, Technology, & Human Values
  6. Amrute, S. (2019). Of techno-ethics and techno-affects. Feminist Review, 123(1), 56-73.
  7. Amrute, S. (2016). Encoding race, encoding class: Indian IT workers in Berlin. Durham, NC: Duke University Press.
  8. Amrute, S. (2015). Moving rape: Trafficking in the violence of postliberalization. Public Culture, 27(2), 331-359.
  9. Amrute, S., & Guzmán, R. L. (n.d.). How to cite like a badass feminist tech scholar of color. New York: Data & Society.