Preceptor in Computational Social Science
1155 East 60th Street, Room 215A
Shilin Jia is a PhD candidate in the Department of Sociology. He holds an MA degree from the Department of Sociology at National Chengchi University, Taiwan (2014), and he received a BA degree in Philosophy at the University of California at Berkeley (2009). His current interest lies in applying computational methods to political sociology and organizational studies, and he loves exploring new types of digitized data to tackle old problems.
Shilin has spent years analyzing job transfers of communist party elites in China. It is a project that he built up from scratch by using machines to code party elites' CVs. His goal is to understand how the party state had evolved through division of labor and circulation of its elite members. He is also working on a computational content analysis project tracking ideological changes in the full text of 60 years of the People's Daily, the official mouthpiece of the Communist Party of China. The aim of that project is to understand how incompatible ideas in an ideological system can be gradually reconciled and how the concept of "market" was unfettered in that process.
Methodologically, Shilin has rich experience in modeling temporal processes and extracting information from various sources of data. He is most comfortable working in Python and R. He is also familiar with various kinds of machine learning algorithms.