Using the World Values Survey data, we found that post-materialism interacted with grievances towards the political system to motivate individuals to participate in the 2019 Anti-Extradition Law Movement and protest movements in Hong Kong in general.
Analyzing traffic crash records from 2010 to 2019, this paper studied the frequency and injury counts of traffic crashes at intersections across Texas using Maximum Likelihood (MLE), tree-based machine learning (ML) models, and deep learning models. We found that random forest models performed the best in predicting crash occurrences, while neural network models performed the best in predicting injury counts.
Through a novel signaling game, we illustrate how information and beliefs influenced the strategic interaction between the regime and civil society during the 2019 Anti-Extradition Law Movement.
I conducted an online survey experiment to analyze protest participation in Hong Kong. I examined the causal effects of different factors on individuals' propensity to protest.
Through a game-theoretic model of collective action, we showed that social media, Internet usage, and post-materialism had positive effects on individuals' propensity to protest in Hong Kong and Taiwan.