Politics of Data: Algorithmic Culture, Big Data, and Information Waste

(Formerly IPS 221) This course examines the role of data and algorithms in politically significant phenomena such as fake news,Twitter bots, prediction markets, racial profiling, autonomous robotic weapons, cryptocurrencies, and hacked elections. Readings are drawn from science & technology studies, information science, anthropology, communication, media studies, legal theory, sociology, and computer science, with additional contributions from psychology and philosophy. Non-technical, but minimal familiarity with computers and data analysis is assumed. Assignments include reading logs, a midterm exam, and a term paper. NOTE: Enrollment priority will be given to graduate students, with a preference for MIP students. Undergraduate enrollment is limited to seniors, with priority given to STS majors.