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Sarah E. Sachs
Postdoctoral Associate, Data Science & Society Lab
Sarah E. Sachs is a postdoctoral researcher in the Department of Science & Technology Studies at Cornell University, where she is developing a new project-based undergraduate course, the Data Science & Society Lab, together with Professors Stephen Hilgartner and Malte Ziewitz. Sarah’s general research interests include work practices in relation to emerging data analytic technologies, standards and standardization, team dynamics, and the production of knowledge and expertise. Her dissertation project, The Algorithm at Work: The Reconfiguration of Work and Expertise in the Making of Similarity in Art Data, was an ethnography of an art data classification project in a private sector context. Sarah is currently expanding her research focus to include the production of technical knowledge in academic settings as well as its implementation in industry. She is interested in applying her framework of distributed explanation and repair to the analysis of computational work, in particular the everyday decision-making practices involved in the development and refinement of machine learning algorithms and the potential social and ethical implications of these practices. Sarah received her PhD in Sociology from Columbia University in 2019. Prior to academia, she worked at Google and various start-ups.
- Science and Technology Studies
S. E. Sachs (2019). "The algorithm at work? Explanation and repair in the enactment of similarity in art data." Information, Communication & Society. DOI: 10.1080/1369118X.2019.1612933