3 credits. Letter grades only.
M. Ziewitz
The next generation of thinkers will need a firm grasp on the practices and values implicated in designing and using data science tools. The class will sensitize students from the social sciences, humanities, and STEM to the complexities of data science as both a social and a technical project. We will conduct group research, mapping data flows and frictions within the university while engaging in critical discussion about our findings at Cornell and what we see in the larger social world. Through this immersive and hands-on learning experience: we will lay the groundwork for future coursework and critical engagement with data science, examine data science concepts, track the expansion of data science into several areas of daily life, and engage in social, ethical, and policy analysis.