Interdisciplinary Team Science

Catalog description

Modern science is increasingly a team endeavor, and teams often cross traditional disciplinary boundaries. While interdisciplinary research can illuminate complex and pressing questions, crossing these boundaries can introduce culture shocks that undermine collaborations. In this course, students will learn practical skills for building productive collaborations as they design and conduct analyses of an unpublished dataset, with the goal of producing a publishable manuscript. The emphasis of the course will be on hands-on data analysis, interpretation, data visualization, and writing, in the context of interdisciplinary teams. Students will build skills in R; previous programming experience is helpful but not required. There are no exams. Prereq: Graduate standing.