معرفی
Kai Zhu is an Assistant Professor at Bocconi University in Milan, Italy. He holds a PhD in Information Systems from Boston University and additional degrees from Peking University and Beijing Language and Culture University. His research focuses on computational social science, leveraging machine learning and network analysis to study digital technologies' impact on markets, media, politics, and society. Key areas include digital transformation in cultural markets, text-as-data methodologies, and social network dynamics.
Teaching responsibilities include courses like 'Data Mining for Marketing Analytics' and 'Computational Applications in Marketing.' His work integrates interdisciplinary methods to analyze large-scale datasets from platforms like Wikipedia and social media, addressing challenges such as information poverty and platform monetization. Collaborative projects include contributions to the Wikipedia Detox initiative aimed at detecting toxic online discourse through machine learning models.
Notable publications explore topics ranging from platform economics to crisis communication during the early stages of the COVID-19 pandemic. His research emphasizes the ethical and societal implications of digital technologies while advancing computational methodologies for social science inquiry.
