Benjamin Mako Hill

Speaker Details
Presentation Date: 5/16/2024
Session: Short Course 3
Title: Text as Data
Abstract: This short course will offer a introduction and overview into the use of text as data in quantitative social scientific analyses. The course will focus on outlining a number of the ways that social scientists are combining machine learning tools with social scientific research designs to conduct a range of statistical analyses.
Benjamin Mako Hill is an Associate Professor in the Department of Communication at the University of Washington and a founding member of the Community Data Science Collective. He is also an Adjunct Associate Professor in UW’s Department of Human-Centered Design & Engineering, Paul G. Allen School of Computer Science & Engineering, and Information School. He is also a Faculty Associate at the Berkman Klein Center for Internet and Society and an affiliate at the Institute for Quantitative Social Science—both at Harvard University. Benjamin Mako Hill's website.