Presenters: Eddie Kim, Assistant Professor of Mathematical Science; Zana Cranmer, Assistant Professor of Natural and Applied Sciences; Mateo Cruz, Assistant Professor of Management ; and Reagan Mozer, Assistant Professor of Mathematical Sciences
Event Type: In-person

This session will explore the term intersectionality in all of its complexity, starting with an understanding of the term itself and its roots in critical theory. We will then branch into its relevance to data analysis, introducing participants to both qualitative (e.g. portraiture) and quantitative (e.g. interaction modeling) research methods typically employed to account for intersectionality, as well as future directions and possibilities for researchers to more accurately capture the concept. Panelists will also offer illustrative examples of incorporating intersectionality, for better or worse, from their own experiences. The session will conclude with a moderated discussion with panelists tackling questions from their personal, and professional standpoints, followed by an open Q&A session for questions from the audience.