Xiaofan Liang

Xiaofan Liang

Assistant Professor of Urban and Regional Planning

University of Michigan

I am an Assistant Professor of Urban and Regional Planning at Taubman College of Architecture & Urban Planning, University of Michigan - Ann Arbor. I am also affiliated with Michigan Institute for Data & AI in Society, UM Center for the Study of Complex Systems, and Science, Technology, and Public Policy Program. I am passionate about helping cities better understand and govern the complex networks and technologies that shape urban life. My research examines how network infrastructures such as mobility, social, and digital systems, as well as emerging AI technologies, shape, support, or hinder how cities function, how they are governed, and how residents experience everyday urban life.

My current work focuses on two themes: 1) Urban Networks, which investigates how infrastructure networks such as mobility, social, and digital systems create tradeoffs between connectivity and place-based life, shape unequal experiences for different users and communities, and interact with other networks that compete for space, resources, and influence, 2) Urban AI, which explores how AI (and AI infrastructure) can support, transform, or challenge planning practices and public services.

Interests
  • The Network Effects of Social, Digital, and Transportation Infrastructure
  • Effective, Appropriate, and Human-centered AI Applications for Urban Planning
  • Planning Implications of AI Infrastructure
Education
  • MCRP/PhD in City and Regional Planning, 2023

    Georgia Institute of Technology

  • BSc in Computational Science, 2019

    Minerva University

  • BA in Sociology, 2015

    University of California - Berkeley