About me
Xiaoshuang Jia, Ph.D. student, sociology, SYSU
As a sociologist, I’m interested in finding the social processes behind social phenomenons, that is, how actions, connections, and interactions of (and between) people (and environments) lead to certain outcomes. To become a computational sociologist, I devote myself to learn the state-of-the-art computational methods and techniques, such as machine learning, neural networks, social network analysis and Agent-based modeling. I apply them to my research to answer question in social science. A projects I'm doing currently is a practice of such combination, which aims at finding the ground truth(social process) through observations using the power of computational models.
