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Date and Location

February 7, 2022
12:15 PM - 1:30 PM ET


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​Zoom Registration:

Predictive modeling projects in higher education in the U.S. have contributed to a proliferation of student data, which universities increasingly use to predict and intervene on graduation and retention outcomes. Some of these interventions are student-facing. Data visualizations and nudging, for example, prompt students to be more productive and manage their time more efficiently. In this talk, informed by ethnographic research on the development and deployment of predictive modeling at a large public university in the U.S., I ask what kinds of data subjects are produced through modeling efforts. In particular, I focus on the rendering of students as primed to become, as one student put it, “as close to robot as possible” through visions of what students could be if they acted on their data

Speakers and Presenters

​Madisson Whitman, Columbia, Center for Science and Society


Additional Organizers

​Harvard STS, WCFIA