Law, Data Science, and Technology Series

This series consists of two currently offered lecture series: Social Justice for Data Sciences Lecture Series and Cyber Alliance Speaker series. The Social Justice for Data Science Lecture Series, hosted by the Faculty of Computing and Data Sciences and the Law School, brings together leading scholars in law, computer science, humanities, and social science to examine the current state of data science and social justice. The goal of the series is to engage with the relationship between justice (as a historically contingent and value-laden category) and data science (with a focus on datafication, automation, predictive analytics, and algorithmic decision-making). The series holds four sessions that are each an hour and half long in the fall term. The Cyber Alliance Speaker Series hosted by the Faculty of Computing and Data Sciences, Law School, and Questrom School of Business, bring together leading scholars working in the areas of law, technology, business, and policy. The series holds five sessions that are each an hour and half long throughout the Fall and Spring term. The Colloquium will expose students to cross-disciplinary talks and presentations and enable students to think critically about law, computation, and data sciences. To prepare for each session, students will read the speaker’s paper or a prior paper and will write short reaction responses that include three questions. Lecture dates to be announced. GRADING NOTICE: This year-long course is graded Pass/Fail at the end of spring term.