LEGALST 123
Data, Prediction & Law
Data, Prediction and Law allows students to explore different data sources that scholars and government officials use to make generalizations and predictions in the realm of law. The course will also introduce critiques of predictive techniques in law. Students will apply the statistical and Python programming skills from Foundations of Data Science to examine a traditional social science dataset, “big data” related to law, and legal text data.
Topics
- By the end of Data, Prediction, and Law, students will be able to use common statistical and computational techniques to analyze different types of data (traditional survey data, big data, and text data) related to law. By the end of Data, Prediction, and Law, students will be able to critique the use of data and predictive tools in sociolegal processes, including the identification and punishment of crime.
Official catalogue course objectives and student learning outcomes
Sources
- Course catalogue ↗2026-2027