The Science of Urban Networks
July 30, 2025 10:00 am (Central Time)
Abstract
Cities have been the study of scientific inquiry for over a century. Today, urban science aims to describe, predict, and explain cities through the tools of computer science, statistical physics, and geospatial data science. This talk considers paths to improve its scientific generalizability and local usefulness, focusing on examples of urban network analysis. First, conducting urban science without samples can sidestep traditional induction challenges. Second, localizing urban science to individual sites in collaboration with local partners can produce better-validated and more-actionable findings for evidence-informed planning practice. The talk considers how the academic community can foster better science through better theory-infused tools for research and practice.
Speakers
Geoff Boeing
University of Southern California
Geoff Boeing is an Associate Professor in USC’s Department of Urban Planning and Spatial Analysis, the Director of USC’s Urban Data Lab, and a Nonresident Senior Fellow at the Brookings Institution. He received his PhD in City and Regional Planning from the University of California, Berkeley.
His research and teaching focus on geospatial data science, urban networks, and information landscapes. His work has been presented at the Venice Biennale of Architecture, shortlisted by the Information Is Beautiful Awards and the NetSci Visualization Awards, and covered by numerous media outlets including The Economist, The Guardian, The Atlantic, and The Washington Post. He developed and maintains the OSMnx street network modeling software and has served as a consultant for several planning, policymaking, and public health organizations.