MA, Sociology, National Chengchi University
BA, Philosophy, UC Berkeley
Repeated observations of social events over long periods of time have been traditionally difficult to collect. But with emergence of new types of data, it has become increasingly possible and is presenting huge opportunities for sociologists to test social theories that have long been speculated without rigorous examination. My research interest is to develop and apply innovative methods to analyze digitized archival data and answer questions about macro-historical social change.
The major project that I have spent years working on is job transfers of political elites in the communist party China. It is a project that I built up from scratch by using machines to code party elites’ CVs. My goal is to understand how the party state has evolved through division of labor and circulation of its elite members. I am also currently involved in a computational content analysis project tracking changing economic rhetoric in the full text of 60 years of the People’s Daily, the official mouthpiece of the communist party. The aim of that project is to understand how incompatible ideas in an ideological system can be gradually reconciled and how “market” has become unfettered in that process.