Abstract: Digital technologies have brought about a significant shift in...
Socio-spatial Networks
Public health, mobility and information diffusion
Artificial intelligence for social good
Computational
Social Science
Laboratory
(CSSL@CUHK)
Large amounts of data are now being produced, collected, and analysed at unprecedented speed, breadth, depth, and scale. Focusing on the development and application of computational methods for complex and large-scale human behavior and behavioral change, Computational Social Science addresses fundamental questions about individuals and collectives, and major social problems. With the aim to promote interdisciplinary collaborations in addressing substantive social science questions, the CSSL@CUHK was formed in April 2021.
Each Computational Social Science PhD Fellow is affiliated with a department/school/programme within the Faculty of Social Science. The scheme aims to bring together young talents from different disciplines who aspire to employ solution-based CSS approaches to address important and complex problems.
CSS PhD
Fellowship
Scheme
@CUHK
Latest News
School-to-Work Transition in Big Data
Abstract: Professor Han will present a series of her published...
Heterogeneous Treatment Effect Bounds under Sample Selection with an Application to the Effects of Social Media on Political Polarization
Abstract: We propose a method for estimation and inference for...
Mapping Out the Interpersonal Boundary Stones in Contemporary China: Guanxi Network Structure and Its Association with Traditional Culture Endorsement
Abstract: Guanxi research would benefit from an empirical portrayal of...