社会科学学院

Chair of School Council, School of Social Sciences, Tsinghua University

Deputy Director, Tsinghua Laboratory of Computational Social Science and National Governance, National Laboratory of Philosophy and Social Sciences

Tenured Professor and PhD Supervisor, Department of Political Science, School of Social Sciences, Tsinghua University

Adjunct Professor, Schwarzman College, Tsinghua University

PhD in Political Science, Comparative Politics and Chinese Politics, School of Government, Peking University (Sep. 2007–Jul. 2013)

Joint PhD Training Program , Harvard University (Aug. 2011–Sep. 2012)

BA in Political Science, School of Government, Peking University (Sep. 2003–Jul. 2007)

Tenured Professor, Department of Political Science, School of Social Sciences, Tsinghua University (Dec. 2022–Present)

Tenured Associate Professor, Department of Political Science, School of Social Sciences, Tsinghua University (Dec. 2019–Dec. 2022)

Associate Professor, Department of Political Science, School of Social Sciences, Tsinghua University (Oct. 2016–Dec. 2019)

Adjunct Faculty, Schwarzman College, Tsinghua University (Jun. 2016–Present)

Assistant Professor, Department of Political Science, School of Social Sciences, Tsinghua University (Dec. 2015–Sep. 2016)

Postdoctoral Fellow, Department of Political Science, School of Social Sciences, Tsinghua University (Jul. 2013–Oct. 2015)

Deputy Chair, National Technical Committee on Platform Economy Governance (Jun. 2025–)

Deputy Director, Institute for Digital Government and Governance, Tsinghua University (Oct. 2024–)

Member, Expert Committee for the Evaluation of Chinese Humanities and Social Sciences Journals (2022–)

Deputy Director, Tsinghua Laboratory of Computational Social Science and National Governance (Dec. 2021–)

Vice President, Youth Committee of the Chinese Political Science Association (Jul. 2020–)

Research Fellow, Institute for National Governance, Peking University (Jan. 2019–)

Executive Director, Computational Social Science Platform, Tsinghua University (Sep. 2017–)

Distinguished Research Fellow, Institute for National Governance, Tsinghua University (Jan. 2017–)

10th Ministry of Education Outstanding Scientific Research Achievement Awards in Humanities and Social Sciences, Second Prize (2026)

Beijing Higher Education Teaching Achievement Award, First Prize (2026)

Tsinghua University Teaching Achievement Awards, First and Second Prizes (2025)

China Data Factor Emerging Scholar Program (2024)

Beijing Outstanding Young Scientist Program (2024)

9th Ministry of Education Outstanding Scientific Research Achievement Awards in Humanities and Social Sciences, Young Achievement Award (2023)

National-Level Talent Program, Distinguished Professor (2023)

Beijing Higher Education Teaching Achievement Award, First Prize (2022)

Outstanding Paper Award, 15th Chinese Communication Association Conference and 40th Anniversary Conference of Chinese Communication Studies (2022)

Beijing 16th Outstanding Achievement Awards in Philosophy and Social Sciences, Second Prize (2021)

Tsinghua University Teaching Achievement Awards, First and Second Prizes (2021)

Chinese Political Science Association Young Political Science Outstanding Achievement Award (2020)

National-Level Talent Program, Young Scholar (2019)

Shanghai Outstanding Achievement Awards in Philosophy and Social Sciences, Second Prize (2018)

4th Baisheng–Tsinghua University Journal Outstanding Paper Award (2017)

Tsinghua University Academic Newcomer Award (2017)

Beijing Universities’ Outstanding Achievement Award for Young Faculty Social Research, First Prize (2016)

Tsinghua University Zhongying Young Scholar (2016)

Peking University Outstanding Doctoral Dissertation Award (2013)

Books and Textbooks

1. Meng, T. (Ed.). (2026). Introduction to computational political science (计算政治学概论). China Renmin University Press.

2. Meng, T. (Ed.). (2025). Building AI scientists: A practical handbook for DeepSeek and ChatGPT applications (打造 AI 科学家：DeepSeek 与 ChatGPT 应用实战手册). China Machine Press.

3. Meng, T., & Zhang, X. (2025). Research report on digital government development in China 2023 (中国数字政府发展研究报告 2023). Economic Science Press.

4. Meng, T. (Ed.). (2023). Introduction to intelligent governance: AI‑driven modernization of governance (智能治理导论：人工智能驱动的治理现代化). Tsinghua University Press.

5. Meng, T. (2022). Process‑oriented state governance: The generation, effects, and mechanisms of government quality (过程导向的国家治理：政府质量的生成、效应与机制). The Commercial Press.

6. Meng, T., & Zhang, X. (2021). Research report on digital government development in China 2021 (中国数字政府发展研究报告 2021). Economic Science Press.

English Peer-reviewed Articles

1. Song, W., & Meng, T.* (2026). The Emergence of Local Digital Platform Vehicles in China. The China Quarterly, 1–23.

2. Zhang, J., Cao, J., & Meng, T.* (2026). Digital legitimation and compensation: An experimental study on AI-assisted decision-making and popular legitimacy in China. Journal of Chinese Political Science.

3. Zhang, J., Wang, Y., & Meng, T.* (2026). Consensus vs divide: Perceptions of digital governance between elites and mass. Journal of Chinese Governance, 11(1), 1–40.

4. Xu, J., Jiang, J., & Meng, T. (2025). New socialist men (and women)? Communist industrial workplace and political engagement in China. Comparative Political Studies, 59(7), 1456-1492.

5. Song, W., Zhang, J. & Meng, T.* (2025). Digital Corporatism: State-Business Dynamics of Digital State Capacity Building in China. Journal of Chinese Political Science, 30(3), 323–357.

6. Yan, Y., Zheng, Y., & Meng, T.* (2025). Vertical and horizontal modes of collaboration in urban governance: A comparative analysis of citizen service hotline in Beijing and New York City. Journal of Comparative Policy Analysis: Research and Practice, 1–25.

7. Yan, Y., Li, Z., & Meng, T*. (2025). Conceptions of democracy in China: New evidence from the structural topic model. International Political Science Review, 46(3), 370–387.

8. Zhao, Z., Zhou, X., Zheng, Y., Meng, T., & Fang, D. (2024). Enhancing infrastructural dynamic responses to critical residents’ needs for urban resilience through machine learning and hypernetwork analysis. Sustainable Cities and Society, 106, 105366.

9. Jin, S., Hu, Y., & Meng, T. (2024). Why Economic Inequality Undermines Political Trust: An Analysis of Mechanisms. Public Opinion Quarterly, 88(2), 337–358.

10. Zhang, K., Zhao, J., & Meng, T.* (2024). Governing China in digit. China Review, 24(3), 207–240.

11. Wu, J., & Meng, T.* (2023). The nature of ideology in urban China. Comparative Politics, 55(3).

12. Huang, Z., Yang, Z., & Meng, T.* (2023). National identity of locality: The state, patriotism, and nationalism in cyber China. Journal of Chinese Political Science, 28, 51–83.

13. He, L., & Meng, T.* (2023). How facial expressions of recipients influence online prosocial behaviors? Evidence from big data analysis on Tencent Gongyi Platform. Journal of Social Computing, 4(4), 337–356.

14. Meng, T., & Su, Z. (2021). When top-down meets bottom-up: Local officials and selective responsiveness within fiscal policymaking in China. World Development, 142, 105443.

15. Zheng, S., & Meng, T.* (2021). The paradox of responsiveness and social protest in China. Journal of Contemporary China, 30(128), 212–232.

16. Zhu, X., & Meng, T. (2020). Geographical leadership mobility and policy isomorphism: Narrowing the regional inequality of social spending in China. Policy Studies Journal, 48, 806–832.

17. Meng, T., & Yang, Z. (2020). Variety of responsive institutions and quality of responsiveness in cyber China. China Review, 20(3), 13–42.

18. Jiang, J., Meng, T., & Zhang, Q. (2019). From Internet to social safety net: The policy consequences of online participation in China. Governance, 32(3), 531–546.

19. Meng, T., Pan, J., & Yang, P. (2017). Conditional receptivity to citizen participation: Evidence from a survey experiment in China. Comparative Political Studies, 50(4), 399–433.

20. Im, D.-K., & Meng, T.* (2016). The policy–opinion nexus: The impact of social protection programs on welfare policy preferences in China. International Journal of Public Opinion Research, 28, 241–268.

Chinese Peer-reviewed Articles

1. 孟天广. 计算政治学的双重意涵：计算的政治与政治的计算 [J]. 行政论坛, 2026, 33 (01): 66-75.

2. 孟天广,苏宇轩. 基于大语言模型的政治史料分类方法研究：从史料结构化到智能标注 [J]. 复旦学报(社会科学版), 2026, 68 (02): 153-167.

3. 王心怡,张竞衔,孟天广. 再造团结：文化视角下的基层党组织与乡村治理——对关中乡村新时代文明实践的考察 [J]. 社会学研究, 2026, 41 (01): 252-279+286.

4. 唐蒙,孟天广*. 重访数字科层制：数字革命下的现代政府组织 [J]. 探索与争鸣, 2026, (01): 106-119+179+2.

5. 张竞衔,郑思尧,孟天广*. 政治统领与国家治理——基于对中央全面深化改革委员会的分析 [J]. 社会科学, 2025, (10): 105-120.

6. 孟天广,刘愉之. 信息何以进入国家?国家—社会关系视角下的信息流及其数字化面孔 [J]. 江苏行政学院学报, 2025, (05): 127-138.

7. 孟天广. 本土与国际的对话：在文明互鉴中构建中国政治学自主知识体系 [J]. 探索, 2025, (04): 21-27+56-57.

8. 葛天任,孟天广. 从结构论到生态论——城市政治学的理论迭代与未来议程 [J]. 政治学研究, 2025, (02): 123-136+179.

9. 孟天广,张静. 基于大数据的实验方法：AI时代实验政治学的前沿推进 [J]. 东南学术, 2025, (02): 57-69.

10. 孟天广. 计算政治学：试析数智时代的政治学理论与方法范式 [J]. 世界社会科学, 2025, (01): 95-115+244-245.

11. 孟天广,吴培琳. 算法政治：算法介入国家治理的耦合逻辑与政治效应 [J]. 山东大学学报(哲学社会科学版), 2024, (05): 134-147.

12. 黄敏璇,孟天广*. 从群众路线到全过程人民民主：人民建议征集制度的政治逻辑 [J]. 社会科学, 2024, (06): 112-123+135.

13. 王心怡,孟天广*. 知识政治学：国家治理中的知识生产与调用[J].探索与争鸣, 2024, (02): 6-24+177.

14. 孟天广,郑思尧. 国家治理的信息理论：信息政治学的理论视角[J]. 政治学研究, 2023, (06): 117-130.

15. 方鹿敏,孟天广*. 超越国家汲取能力：国际数字税实践的政治经济分析 [J]. 四川大学学报(哲学社会科学版), 2023, (05): 32-42+191.

16. 孟天广,严宇. 人感城市：智慧城市治理的中国模式 [J]. 江苏社会科学, 2023, (03): 104-112+243.

17. 孟天广. 智能治理：通用人工智能时代的治理命题 [J]. 学海, 2023, (02): 41-47.

18. 王烨,孟天广*. 压力即动力：纵向权力关系与地方政府回应性[J]. 社会科学, 2022, (12): 95-108.

19. 孟天广.数字治理生态：数字政府的理论迭代与模型演化[J].政治学研究,2022 (4).

20. 孟天广.福利改革的政治分析：制度设计、制度绩效与政治信任[J].华中师范大学学报(人文社会科学版),2022,61(3):66-79.

21. 孟天广.福利制度的过程治理：再分配、政府质量与政治信任[J].行政论坛,2022,28(1):31-39.

22. 赵金旭,赵娟,孟天广*.数字政府发展的理论框架与评估体系研究——基于31个省级行政单位和101个大中城市的实证分析[J].中国行政管理,2022(6):49-58.

23. 严宇,孟天广*.数据要素的类型学、产权归属及其治理逻辑[J].西安交通大学学报(社会科学版),2022,42(2):103-111.

24. 孟天广,赵金旭,郑兆祐.重塑科层“条块”关系会提升政府回应性么?——一项基于北京市“吹哨报到”改革的政策实验[J].中国行政管理,2021(4):31-39.

25. 孟天广,黄种滨,张小劲.政务热线驱动的超大城市社会治理创新——以北京市“接诉即办”改革为例[J].公共管理学报,2021,18(2):1-12.

26. 孟天广.政府数字化转型的要素、机制与路径———兼论“技术赋能”与“技术赋权”的双向驱动[J].治理研究,2021,37(1):5-14.

27. 孟天广,王烨.国家治理现代化的“新叙事”:转型中国的党建与国家建设[J].华中师范大学学报(人文社会科学版),2020,59(6):1-12.

28. 孟天广.重访回应性政府:网络问政制度的多样性与制度绩效[J].中国社会科学（英文版）,2019,40(4):148-172.

29. 孟天广,赵娟.大数据时代网络搜索行为与公共关注度:基于2011-2017年百度指数的动态分析[J].学海,2019(3):41-48.

30. 孟天广,赵娟.大数据驱动的智能化社会治理:理论建构与治理体系[J].电子政务,2018(8):2-11.

31. 孟天广.政治科学视角下的大数据方法与因果推论[J].政治学研究, 2018(3):29-38.

32. 孟天广.从因果效应到因果机制:实验政治学的中国路径[J].探索,2017(5):30-38.

33. 孟天广,郑思尧.信息、传播与影响:网络治理中的政府新媒体——结合大数据与小数据分析的探索[J].公共行政评论,2017,10(1):29-52.

34. 孟天广,季程远.重访数字民主:互联网介入与网络政治参与——基于列举实验的发现[J].清华大学学报(哲学社会科学版),2016,31(4):43-54.

35. 孟天广,田栋.群众路线与国家治理现代化——理论分析与经验发现[J].政治学研究,2016(3):25-35.

36. 孟天广,杨平,苏政.转型中国的公民意见与地方财政决策——基于对地方政府的调查实验[J].公共管理学报,2015,12(3):57-68.

37. 孟天广,李锋.网络空间的政治互动:公民诉求与政府回应性——基于全国性网络问政平台的大数据分析[J].清华大学学报(哲学社会科学版),2015,30(3):17-29.

38. 孟天广,苏政.“同侪效应”与“邻居效应”:地级市非税收入规模膨胀的政治逻辑[J].经济社会体制比较,2015(2):165-176.

39. 孟天广,郭凤林.大数据政治学:新信息时代的政治现象及其探析路径[J].国外理论动态,2015(1):46-56.

40. 孟天广,陈昊.不平等、贫困与农村基层民主——基于全国400个村庄的实证研究[J].公共管理学报,2014,11(2):129-138.

41. 孟天广.转型期的中国政治信任:实证测量与全貌概览[J].华中师范大学学报(人文社会科学版),2014,53(2):1-10.

42. 孟天广.转型期中国公众的分配公平感:结果公平与机会公平[J].社会,2012,32(6):108-134.

43. 孟天广,杨明.转型期中国县级政府的客观治理绩效与政治信任——从“经济增长合法性”到“公共产品合法性”[J].经济社会体制比较,2012(4):122-135.

Media Publications and Coverage (Selected)

1. “When Answers Are at Our Fingertips, Learning to Ask Questions Becomes Even More Valuable,” Beijing Daily, July 10, 2026.

2. “Investing in People to Build Certain Growth Momentum for an Uncertain Future,” Xinhua Daily Telegraph interview column, May 18, 2026.

3. “Using AI to Study AI: The Intelligent Transformation of Social Science Research,” China Social Sciences Daily, February 4, 2026.

4. “Establishing a High-Quality Paid Data Circulation Mechanism to Unlock the Value of High-Quality Data,” Expert Interpretation by the National Data Administration, December 2025.

5. “Laying the Foundation and Building Platforms, Promoting Interdisciplinary Integration—The Development of Philosophy and Social Sciences Laboratories during the 14th Five-Year Plan Period,” China Social Sciences Daily, October 2025.