Section Description Provided by Instructor
This one-credit course and workshop will bring together law students from Columbia and graduate students from political science and computer science at the University of California, San Diego and Berkeley for an intensive introduction to how computational social science can be used to study law and legal institutions. The course will be co-taught by Professor Liebman, Professor Margaret Robets of UCSD, and Professor Rachel Stern of Berkeley Law. This course will be held over an intensive three-day period on the campus of the University of California at San Diego from January 14 to 16, 2019. Law students will also be required to attend one two-hour introductory session prior to the start of the course (likely held online the week prior to J-Term) and one two-hour session in person upon return to New York. Columbia Law School will pay travel and hotel expenses for Columbia participants. Our goal is to bring together students from all three disciplines to work together to develop questions and tools of analysis for studying the vast amount of legal text now publicly available in China. Over the past three years a team of faculty and students from the three partner institutions has built a database of more than forty million court judgements from China. This course is designed to teach students from all three schools both the basics of law and computational social science necessary to formulate research questions and deepen analysis of the data, and also to foster collaboration among students across the three disciplines represented.
This will be a pass/fail class; students are required to participate actively in all sessions and presentations and to write a short essay following the conclusion of the workshop.
Students interested in taking this class should apply directly to Professor Liebman - [email protected] - by Monday, 29 October, including a letter of interest, transcript, whether you have any prior study of Chinese law with Professor Liebman or elsewhere, and your level of Chinese language ability (if any).