Mo Chen

Research Associate, Chair of Cyber Trust | Technical University of Munich

Mo Chen is a Postdoctoral Research Scholar at the Chair of Cyber Trust supported by a research stipend from the Fritz Thyssen Foundation. Her current research projects focus on big-data enabled social credit systems; especially with a focus on China. Her research interests are in the areas of political economy, development studies, and data analysis in social science. She successfully submitted her Ph.D. thesis at the School of Sociology, Politics and International Studies at the University of Bristol in 2018

mo.chen@tum.de
Profile
Participations and Contributions
Publications
Participations and Contributions
All posts
Digital competition

Learning from the ‘frontrunner’? A multidisciplinary analysis of the Chinese Social Credit System and its impact on Germany

Project

The project investigated the opportunities and risks derived from China’s SCS-driven digital transformation.

Digital politics

Nudge Units and Data-driven Nudging

Blog
5 July 2021

The past decade has witnessed a global trend of using nudging to intractable policy problems. To date, nudging has been applied in a range of different spheres such as public health, taxation and environmental protection; it is considered…

Publications

  • Chen, Mo; Grossklags, Jens (2023)

    E-government HCI in China: How Does the Government Communicate a New Regulation System to the Public?

    Conference paper
    Proceedings of the Asian HCI Symposium 2023: Asian CHI '23, P. 7-14
    DOI: 10.1145/3604571.3604573
    Project: CSCS
  • Chen, Mo; Engelmann, Severin; Grossklags, Jens (2023)

    Social Credit System and Privacy

    Contribution / chapter
    Trepte, Sabine; Masur, Philipp, The Routledge Handbook of Privacy and Social Media, P. 227-236, New York, Routledge
    ISBN: 9781003244677
    Project: CSCS
  • Chen, Mo; Engelmann, Severin; Grossklags, Jens (2022)

    Ordinary People as Moral Heroes and Foes: Digital Role Model Narratives Propagate Social Norms in China’s Social Credit System

    Conference paper
    Proceedings of the 5th AAAI/ACM Conference on AI, Ethics, and Society, P. 181-191
    DOI: 10.1145/3514094.3534180
    Project: CSCS
  • Chen, Mo; Grossklags, Jens (2022)

    Social Control in the Digital Transformation of Society: A Case Study of the Chinese Social Credit System

    Journal article
    Social Sciences, Volume: 11, Nr. 6, P. 1-23
    DOI: 10.3390/socsci11060229
    Project: CSCS
  • Chen, Mo; Grossklags, Jens (2022)

    Social Control in the Digital Transformation of Society

    A Case Study of the Chinese Social Credit System

    Journal article
    Social Sciences, Volume: 11, Nr. 6, P. 229
    DOI: 10.3390/socsci11060229
    Project: CSCS
  • Chen, Mo; Engelmann, Severin; Grossklags, Jens (2022)

    Ordinary People as Moral Heroes and Foes

    Conference paper
    Conitzer, Tasioulas et al., Proceedings of the 2022 AAAI/ACM, P. 181-191
    DOI: 10.1145/3514094.3534180
    Project: CSCS
  • Engelmann, Severin; Chen, Mo; Dang, Lorenz; Grossklags, Jens (2021)

    Blacklists and Redlists in the Chinese Social Credit System: Diversity, Flexibility, and Comprehensiveness

    Conference paper
    Proceedings of 4th AAAI/ACM Conference on AI, Ethics, and Society, P. 78-88
    DOI: 10.1145/3461702.3462535
    Project: CSCS
  • Chen, Mo; Bogner, Kristina; Becheva, Joana; Grossklags, Jens (2021)

    The Transparency of the Chinese Social Credit System from the Perspective of German Organizations

    Conference paper
    Proceedings of the 29th European Conference on Information Systems
    Project: CSCS
  • Krause, Theresa; Chen, Mo; Fischer, Doris (2021)

    Information governance – a missing dimension in the Varieties of Capitalism framework

    Conference paper
    Proceedings of the 33rd Annual SASE Meeting 2021
    Project: CSCS
  • Chen, Mo; Grossklags, Jens (2020)

    An Analysis of the Current State of the Consumer Credit Reporting System in China

    Conference paper
    PoPETs (Proceedings on Privacy Enhancing Technologies), Volume: 2020, Nr. 4, P. 89-110
    DOI: 10.2478/popets-2020-0064
    Project: CSCS