Ph.D. Candidate | Hong Kong Baptist University

Yingying Fan

AI Governance, Emergency Management, and Computational Social Science.

I am a Ph.D. candidate in the Department of Government and International Studies at Hong Kong Baptist University.

My research focuses on AI governance, public policy, and emergency management, with particular attention to how digital technologies are transforming public-sector governance, policy implementation, and crisis response.

Methodologically, I use natural language processing, social network analysis, multimodal analysis, and geospatial analysis to study governance and policy problems. I am also developing AI agents and computational tools for social science research.

Email: 23481609@life.hkbu.edu.hk

GitHub Download CV Publications Open Source

Publications and current work

2025

The roles of high-tech companies in collaborative emergency response networks

Li, Y., Fan, Y., & Kapucu, N. Public Management Review.

Examines how high-tech companies supplemented and complemented public-sector capabilities across emergency response functions. Research summary

2025

Making governance agile: Exploring the role of artificial intelligence in China’s local governance

Li, Y., Fan, Y., & Nie, L. Public Policy and Administration, 40(2), 276-301.

Examines AI as both a structure for frontline work and a colleague supporting more adaptive local governance. Research summary

2021

Unpacking government social media messaging strategies during the COVID-19 pandemic in China

Li, Y., Chandra, Y., & Fan, Y. Policy & Internet, 14(3), 651-672.

Identifies differences in crisis messaging between local government and central party-state media accounts during the Wuhan lockdown. Research summary

2020

From women for women: The role of social media in online nonprofit activities during Wuhan lockdown

Li, Y., Chandra, Y., Nie, L., & Fan, Y. Public Administration and Development, 40(5), 267-272.

Shows how a women-led volunteer initiative used social media to identify overlooked needs and coordinate aid for frontline medical workers. Research summary

Doctoral dissertation

Algorithmic Friction: How AI Reshapes Administrative Burden in China’s Street-Level Bureaucracy

This project examines how AI-mediated public administration changes administrative burden, frontline discretion, and the relationship between citizens and public institutions.

Working paper

Not All Formal Arrangements Persist Across Crisis Phases

Command and coordination in Macao’s civil protection response.

Working paper

Concept Measurement in the Age of Large Language Models

Theory-based coding in multimodal short-video data.

Computational work

Open Source Tools for Social Science Research

My methodological toolkit includes natural language processing, social network analysis, LLM-assisted coding, data visualization, and geospatial analysis.

More tools and research code are available here.

research_stack = {
  questions: ["AI governance", "emergency management"],
  methods: ["SNA", "NLP", "AI-agent-assisted analysis", "GIS"],
  tools: ["Python", "R", "Gephi", "ArcGIS"]
}