Mo Chen

Wissenschaftliche Mitarbeiterin, Professur für Cyber Trust | Technische Universität München

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
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Digitaler Wettbewerb

Vom ‚Vorreiter‘ lernen? Eine multidisziplinäre Analyse des chinesischen Sozialkreditsystems und seiner Auswirkungen auf Deutschland

Forschungsprojekt

Mit dem sogenannten Sozialkreditsystem erfasst China die Kreditwürdigkeit von Unternehmen sowie seiner Bürgerinnen und Bürger. Im Rahmen des Projekts wurden Chancen und Risiken für die deutsche Wirtschaft untersucht.

Digitalpolitik

Nudge Units and Data-driven Nudging

Blog
5. Juli 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…

Publikationen

  • Chen, Mo; Grossklags, Jens (2023)

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

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

    Social Credit System and Privacy

    Beitrag in ...
    Trepte, Sabine; Masur, Philipp, The Routledge Handbook of Privacy and Social Media, S. 227-236, New York, Routledge
    ISBN: 9781003244677
    Projekt: 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

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

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

    Zeitschriftenaufsatz
    Social Sciences, Band: 11, Nr. 6, S. 1-23
    DOI: 10.3390/socsci11060229
    Projekt: CSCS
  • Chen, Mo; Grossklags, Jens (2022)

    Social Control in the Digital Transformation of Society

    A Case Study of the Chinese Social Credit System

    Zeitschriftenaufsatz
    Social Sciences, Band: 11, Nr. 6, S. 229
    DOI: 10.3390/socsci11060229
    Projekt: CSCS
  • Chen, Mo; Engelmann, Severin; Grossklags, Jens (2022)

    Ordinary People as Moral Heroes and Foes

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

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

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

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

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

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

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

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

    Konferenzpapier
    PoPETs (Proceedings on Privacy Enhancing Technologies), Band: 2020, Nr. 4, S. 89-110
    DOI: 10.2478/popets-2020-0064
    Projekt: CSCS