中国数字治理：机构、政策与政治
课程教师
Ziteng Fan
教师简介
Ziteng Fan is an Associate Professor at the Institute for Global Public Policy, Fudan University. He is also a member of the Emerging Scholar Editorial Board for the journal Global Public Policy and Governance (JCR Q2). His research covers various issues in digital governance. He has published over 20 articles in prestigious Chinese and English peer-reviewed journals, including Sociological Studies (in Chinese), Management World (in Chinese), Chinese Public Administration (in Chinese), Public Management Review, and Regulation & Governance. Several of his works are ranked in the top 0.1% and 1% of highly cited papers on CNKI and have been featured as journal cover articles. He served as the PI for projects funded by the National Natural Science Foundation of China and the Ministry of Education’s Humanities and Social Sciences. He has contributed to drafting key policy documents for the central government on digital China initiatives. His policy briefs on digital government have been adopted by relevant national authorities. These contributions have earned him numerous awards, including CNKI’s “The Most Influential Scholars of 2024”, the First Place Award for Best Paper at the Annual Conference of the Chinese Public Administration Association and the ASPA-SCPA PhD Student Best Paper Award.
课程内容
This course aims to deepen students’ understanding of the political dynamics involved in digital governance in China, focusing on governance institutions, policy strategies, and implementation processes. The course is divided into two main modules. Module One provides a foundational overview of digital governance systems in China, aiming to present a basic outline of the current landscape. Module Two focuses on key issues at the cutting edge of digital governance development in China, including open government data, citizen participation, collaborative governance, privacy protection, and the application of big data and AI.
This course is particularly suitable for students with a keen interest in digital governance research, those who aspire to pursue degree programs based on this specialization, or those aiming to publish research on digital governance in China in international journals. Throughout the course, three key characteristics will be emphasized:
Comparative Perspective: While introducing and analyzing China's digital government practices, the course will incorporate comparisons with international theories and experiences.
Hands-on Research Training: The instructor will work closely with students on relevant topics, exploring research-worthy issues and discussing both theoretical and empirical development paths.
Multi-Method Teaching: The course plans to enhance student engagement through various interactive modes, including field research experiences and classroom simulation exercises.
预期目标
Comprehensive Framework: Students will develop a holistic understanding of the current state of digital governance development in China.
Theories and Data: Students will acquire a fundamental grasp of the theories and data used to analyze digital governance.
One-on-One Guidance: The instructor will engage in one-on-one discussions with each student, guiding them to develop a research proposal with publication potential by the end of the course.
课程安排
Lecture | Topic (2.5 teaching hours) |
1 | Introduction: 8 Myths in Digital Governance |
2 | The Failures of Digital Technology Implementation in Government |
3 | Evolutions of Digital Governance Strategies in China |
4 | Governing Structures of Digital Governance in China |
5 | Performance Evaluation of Digital Governance Projects |
6 | The Politics of Information Disclosure and Open Government Data |
7 | Collaborative Governance and Digital Service Delivery |
8 | Top-down and Bottom-up E-participation |
9 | Privacy Paradox and Personal Information Protection |
10 | Big Data, AI and Public Policy Algorithms |
Reading List
Meijer, A.J., Lorenz, L., & Wessels, M. (2021). Algorithmization of Bureaucratic Organizations: Using a Practice Lens to Study How Context Shapes Predictive Policing Systems. Public Administration Review. https://doi.org/10.1111/puar.13391
Fan, Z., Christensen, T., & Ma, L. (2022). Policy attention and the adoption of public sector innovation. Public Management Review.
Ma, L., & Zheng, Y. (2018). Does e-government performance actually boost citizen use? Evidence from European countries. Public Management Review, 20, 1513 - 1532.
Li, Veronica Q T., Ma, L., & Wu, X. (2022). COVID-19, policy change, and post-pandemic data governance: a case analysis of contact tracing applications in East Asia. Policy and Society, 41, 1, 1-14
Hjaltalín, I.T., & Sigurdarson, H.T. (2024). The strategic use of AI in the public sector: A public values analysis of national AI strategies. Government Information Quarterly., 41, 101914.
Jiang, J., Meng, T., & Zhang, Q. (2017). From Internet to social safety net: The policy consequences of online participation in China. Governance, 32, 531-546.
Grimmelikhuijsen, S.G. (2022). Explaining why the computer says no: algorithmic transparency affects the perceived trustworthiness of automated decision‐making. Public Administration Review. doi/pdfdirect/10.1111/puar.13483
Student Assessment
Class Attendance: Students are expected to be prepared and on time to attend all sessions. If uncontrollable circumstances require your absence, please contact the instructor by email in advance of class. Two unexcused absences lead to a grade of F.
Academic Discipline: Students are expected to follow the University’s standards of academic integrity. Plagiarism, cheating or other violations are strictly forbidden.
Research Proposal: Thefinal assignment is a research proposal on a relevant issue of digital governance in China by applying theories or perspectives learned in this class. The proposal does not have to be a finished research article, but must have as a minimum one or more research questions, theoretical perspectives and expected outcomes, written with Times New Roman 12 in a MS-WORD format. The essay/paper should be at least 3000 words (excluding references). The paper should have an academically acceptable format with the APA reference style.
