Abstract: In this talk, we examine whether and how information...
Previous
Next
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
A Quasi-comprehensive Exploration of the Mechanisms of Spatial Working Memory
Abstract: Why do some spatial patterns stick in our memory...
Bridging Factor and Sparse Models
Abstract: Factor and sparse models are two widely used methods...
Senseable Economics: From demystifying China’s economy to tackling climate change
Abstract: Sensors are ubiquitous in our daily life, from smartphones,...