Course Description

Data and algorithms are transforming law enforcement and criminal justice, a shift that is ripe for rigorous empirical and narrative exploration. This class is centered around several data-driven projects in criminal justice, with the goal of fostering greater understanding, transparency, and public accountability. Students work in interdisciplinary teams, using a combination of statistical and journalistic methods. Some of the work may be published by news organizations or may be used to advance data journalism investigations.

Students with a background in statistics, computer science, law, public policy or journalism are encouraged to participate. Enrollment is limited, and project teams will be selected during the first week of class. If you are interested in taking the class, please complete this short application by Tuesday, April 3.

Instructors
Sharad Goel ()
Cheryl Phillips (email)
Schedule
Mondays @ 1:30 - 4:20 in Lathrop 299.

Each project group is also required to meet weekly with the teaching staff outside of class, at a mutually convenient time.
Evaluation
The course grade is based on a class project that students work on in teams for the duration of the quarter, and on in-class participation (including weekly project presentations).