Big Data and Public Policy

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This course examines the conceptual underpinnings of data science and social science approaches to policy analysis. We discuss epistemologies of quantification, data production and the phenomenon of “datafication,” predictive versus causal analytic paradigms, algorithmic fairness, and issues of data ethics, regulation, and governance. The course is open to graduate and advanced undergraduate students who have taken at least one course in quantitative methods.

Courses are subject to change at any time. Please check mySSA for the quarters, days, and times that courses will be held, as well as room numbers.