Chen Nan

Chen Nan is an Assistant Professor at the Department of Information Systems & Analytics, National University of Singapore (NUS). He specializes in computational social science, focusing on digital markets, consumer behavior, and information economics. His research explores strategies for firms in competitive information environments, including optimal pricing of free vs. paid content and the implications of right-to-repair policies. Key projects include analyzing paywall effectiveness using data from online platforms like iMaibo, and investigating how limited consumer attention shapes market dynamics.

His work bridges theory and practice, addressing real-world challenges such as subscription model design and policy implications of digital economies. He collaborates with researchers like Khim Yong Goh and Ding Li, leveraging empirical data to build demand-supply models. Chen teaches courses such as BT4241 (Causal Impact Analytics) and IS2238 (Economics of IT and AI).