Abstract: Sensors are ubiquitous in our daily life, from smartphones,...
Public health, mobility and information diffusion
Artificial intelligence for social good
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.
Four Methodological Themes in Computational Spatial Social Science
Abstract: This talk outlines four methodological themes in spatial analytics...
Job Mobility and the Underlying Labour Market Structure
Abstract: To link observed job mobility to the life chances...
Understanding the relation between spatial behaviour and environmental structure with targeted and large-scale human data
Abstract: For the built environments to support human needs in...