Taesoo Song

Taesoo Song is Assistant Professor of Urban and Environmental Policy and Planning in the School of Public and International Affairs at Virginia Tech, based at the university's Washington, D.C.-area campus in Arlington.

His research asks how housing supply, both new construction and the transformation of the existing housing stock, shapes access to housing and neighborhoods, and with what consequences for inequality.

He pursues this question across three connected lines of inquiry: housing supply and neighborhood change, examining how land use and housing policy shape residential mobility; race and immigration, with a focus on the homeownership and residential attainment of Asian American populations; and data infrastructure, evaluating large-scale administrative data sources needed to study these dynamics at fine spatial and temporal scales.

His work appears in the Journal of the American Planning Association, Urban Studies, Housing Policy Debate, Cityscape, and the Journal of Urban Affairs.

Song holds a Ph.D. in City and Regional Planning from the University of California, Berkeley. He has worked with the Terner Center for Housing Innovation and the Urban Displacement Project on housing supply, preservation, and displacement policy in California, and with the Seoul Institute on commercial gentrification in Seoul. He has also served as the Senior Data Science & AI Fellow at the UC Berkeley D-Lab, where he developed and instructed data science workshops.

Areas of Expertise: Housing and Land Use Policy | Neighborhood Change | Race and Immigration | Urban Analytics