Course Description:

Course Description: This graduate-level course examines how digital transformation is reshaping public administrations, policymaking and social governance across diverse policy domains. The course introduces key theories and analytical frameworks for understanding digital governance and the effects of automation, artificial intelligence, and data-driven policy-making for policy institutions and policy processes.

Course Description: The massive amount of data available online contin- ues to increase the bounds of social scientific inquiry. Researchers in both academia and the private sector can gain a greater understanding of human behavior by analyzing the abundant social data stored online. To make use of these data, one must first master technical skills necessary to gather and process these data, which can be quite challenging to do properly.

Course Description: This course aims to deepen students’ understanding of the political dynamics involved in digital governance in China, focusing on governance institutions, policy strategies, and implementation processes. The course is divided into two main modules.

Course Description: This course offers an interactive exploration of advanced quantitative research methodologies in the realm of social sciences, with a particular emphasis on Public Policy. The curriculum encompasses the basics of research methods, causal inference, network analyses, decision-making methods, natural language processing including topic modeling and sentiment analyses.