Lianghao Dai
  • Lianghao Dai
  • Ph.D.
  • ZJU100 Young Professor(Category B)
  • Subject
    Department of Sociology
    Room 1033, Block A, Creative Building, Zijingang Campus, Zhejiang University

    · Cognitive mapping/ Social network analysis

    · Sociology of scientific knowledge/ Science and technology studies

    · Knowledge sharing, group formation and their interactions during the process of interdisciplinary collaborations

    · Academic Labor/ Sociology of Labor

    Lianghao Dai

    ZJU100 Young Professor, Department of Sociology, Zhejiang University

    Distinguished Researcher, Research Center for Private Entrepreneurs, Chinese Academy of Social Sciences

    Member, Chinese Sociological Association and International Sociological Association

    Member of the European association for the study of science and technology (EASST). 

    Member of the society for social studies of science (4S).


    Representative Publications

    Dai, L. 2020. What are fake interdisciplinary collaborations and why do they occur? Nature Index. hy-do-they-occur. 

    Dai, L., and Boos, M. 2019. Mapping the right fit for knowledge sharing. Nature. doi: 10.1038/d41586-019-03558-5.

    Dai, L., and Boos, M. 2017. How Much Sharing is Enough? Cognitive Patterns in Building Interdisciplinary Collaborations. In X. Fu, J. Luo, & M. Boos (Eds). Social Network Analysis: Interdisciplinary Approaches and Case Studies, 41-70. NW: CRC Press.

    Education Background

    Ph.D. of sociology, the Department for Social and Communication Psychology at the Georg-Elias-Müller-Institute of Psychology. Supervisors: Prof. Margarete Boos, Prof. Regina Bendix and Prof. Karin Kurz, 2020

    Visiting Scholar in the Computer Network Group, Institute of Informatics, University of Göttingen, Germany, 2012

    Master Degree in Sociology, Tsinghua University, Beijing, 2012

    Bachelor Degree in Computer Sciences, Beijing University of Posts and Telecommunications, 2009


    Courses Taught

    Academic paper writing, Sociology of science, Social network theory and analysis