Theme I
Policy design, evaluation, and policy process
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Linsheng He 何林晟
Ph.D. candidate in Public Administration at Tsinghua University, studying policy design, behavioral public management, government communication, and collaborative governance.
contact@linshenghe.com
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School of Public Policy and Management, Tsinghua University
Last updated 2026
Public problems, behavioral mechanisms.
My research examines how governments design policy instruments, communicate with publics, and coordinate across organizations. I use behavioral experiments, comparative case analysis, meta-analysis, and computational approaches to study public administration and policy processes.
Theme II
Behavioral public management and experimental methods
Theme III
Government communication, public attitudes, and policy feedback
Selected publications
Aligning Behavioral Assumptions Underlying Policy Instruments
He, L., Dai, Y., & Guo, Y. Public Administration, Online First. SSCI, JCR Q1, ABS 4.
Shows that policy mixes are more effective when the behavioral assumptions embedded in their instruments are consistent.
DOI
Policy mix; behavioral assumptions; policy instruments
Communicating in Diverse Local Cultures
Guo, Y., & He, L. Review of Policy Research, 41(4), 654-678. SSCI, JCR Q1.
Examines how local culture can guide audience segmentation and communication strategies around nuclear power projects.
DOI
Government communication; local culture; nuclear power
政府采纳人脸识别技术的政策反馈解释
郭跃, 洪婧诗, & 何林晟. 公共行政评论, 14(05), 159-177. CSSCI.
Uses a comparative case study of Hangzhou and San Francisco to explain government adoption of facial recognition technology through policy feedback.
PDF
Policy feedback; facial recognition; comparative case study
“工具-叙事-反馈”：一个行为公共政策的研究框架
郭跃, 何林晟, & 苏竣. 中国行政管理, (05), 71-78. CSSCI.
Builds an instrument-narrative-feedback framework to connect behavioral public policy with general policy process theories.
Source
Behavioral public policy; policy instruments; narrative; feedback
Curriculum vitae
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