Introduction to Machine Learning and Legislative Behavior


Introduction to using machine learning techniques to model behavior in legislatures. Focus on two canonical activities in legislatures. Students will build predictive models of voting in the US Congress using text as data to connect the content of bills to votes and will look outside the United States and model bargaining and coalition formation in proportional representation systems. Open only to students in the Focus Program. Department consent required. Instructor: Demarchi

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Curriculum Codes
  • R
  • SS
Typically Offered
Fall Only