CUHK Webinar Series – An Interdisciplinary Approach to Computational Sociology

Abstract: Advancement of emerging technologies such as the Internet of Things (IoT), big data, artificial intelligence (AI) and machine learning has created opportunities for sociologists to promote the field of computational sociology. In this webinar, the speaker will discuss latest research in computational sociology, including his own work on social media, machine learning, and the… Continue reading CUHK Webinar Series – An Interdisciplinary Approach to Computational Sociology

Scarcity and human preference: A multi-methods investigation

Abstract: In this talk, I study the effect of resource scarcity on people’s motivations to acquire resource and avoid waste. These motivations further interact to impact people prosocial tendencies and taste preferences. I use the combination of lab experiment, field experiment, survey and secondary data to test the proposed framework.     Speaker: Professor Dai… Continue reading Scarcity and human preference: A multi-methods investigation

Causal inference with big data: an instrumental variable and model selection perspective

Abstract: In this short talk, I briefly introduce some recent work on causal inference using the instrumental variable (IV) method in high-dimensional models. Some of the common issues of the instrumental variable method, namely, weak instruments, invalid IV, control variable, and hypothesis testing, are covered selectively. Some potential empirical applications will be discussed. An R… Continue reading Causal inference with big data: an instrumental variable and model selection perspective