Thinking Big? Toward a Pedagogy of Critical Data Studies in Political Science

Abstract

Some in our discipline have recently voiced the opinion that political science is a data science. What follows from this argument is that we as instructors are training the next generation of data scientists, especially professionals and researchers who will work with big data. This paper explores the implications for political science education, arguing that we are uniquely suited to make students critical consumers of big data—a goal we can achieve by creating dialogue with work in critical data studies. I offer three suggestions about how to integrate lessons from critical data studies in the classroom. These include ideas about diversifying the research methods curriculum, using data work for service learning, and modeling best practices in our own engagement with students. Though the discussion in this piece is theoretical, the takeaways include a call to action to create more meaningful dialogue with critical data studies.