Han ZHANG 張涵
PhD Princeton University, 2020
Assistant Professor

Tel +852 2358-8400
Fax (852) 2335-0014
Email zhangh
Office Room 2379

Personal Home Page  |  Full CV

Han Zhang is Assistant Professor in the Division of Social Science. He obtained his PhD in Sociology from Princeton University, and his B.S., Computer Science and B.A., History from Peking University. His research spans computational social science, social movements, and quantitative methods. His recent works have advanced methods of building large-scale protest event dataset for China based on deep learning algorithms using text and image as data, and have utilized the dataset to examine the landscape, causes, and consequences of social protests in China. His past research has been published in Sociology Methodology, and has won the Mayer N. Zald Distinguished Contribution to Scholarship Student Paper Award from the Section on Collective Behavior and Social Movements of the American Sociological Association.

Research Interests
  • Collective action and social movements
  • Social network analysis
  • Computational social science
  • Machine learning
Representative Publications
  • Han Zhang and Jennifer Pan (2019), "CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media". Sociological Methodology, 49(1), 1–57. https://doi.org/10.1177/0081175019860244
  • Han Zhang, Shawndra Hill and David Rothschild (2018), "Addressing Selection Bias in Event Studies with General Purpose Social Media Panels". Journal of Data and Information Quality, 10(1), 1936-1955. https://doi.org/10.1145/3185048
Forthcoming / Work In Progress

Please see CV for details.

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