Theme I
Policy design, evaluation, and policy process
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Ph.D. candidate in Public Administration at Tsinghua University, studying policy design, behavioral public management, government communication, and collaborative governance.
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.
Policy design, evaluation, and policy process
Behavioral public management and experimental methods
Government communication, public attitudes, and policy feedback
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.
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.
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.
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.
Future conference dates, selected presentation records, and a map of academic travel.
A compact view of past presentations and future conference nodes.
Officially listed conference dates and milestones to monitor.
Selected conference presentations, grouped as an academic activity record.
Presentation locations and future meeting sites are shown as a geographic supplement.