# Julia Harten [She/hers](https://equity.ubc.ca/resources/gender-diversity/pronouns/) Assistant Professor, Tier 2 CRC: Data Innovation for Housing and Inclusive Urbanization - Office: LASR 426 - Email: - Bio - Research - Courses ##### Bio Julia Harten is an Assistant Professor in the School of Community and Regional Planning. In her work, she leverages innovative data strategies for the study of housing and socio-spatial inequality, focusing on the housing strategies of marginalized people and the role of cities and housing for social mobility. Dr. Harten completed her Ph.D. at the University of Southern California’s Sol Price School of Public Policy, where she researched informal shared rental housing in Shanghai, combining insights from web-scraped online rental listings, critical cartography, and ethnography. Prior to USC, Dr. Harten studied at Münster University, Goethe University Frankfurt, and the Free University of Berlin, earning degrees in Business Administration, Economics, and China and East Asian Studies. ##### Research Harten leverages new data methods to study housing and socio-spatial inequality. She focuses on the housing strategies of marginalized people and the role of cities and housing for social mobility, both in Asia and North America. ##### Courses ### PLAN 512 : Urban Economics, Infrastructure, and Real Estate Issues in Planning **[Julia Harten](/directory/julia-harten)** The real estate development process, from both public and private sector perspectives. Land economics and how economic forces shape land use decisions. Diversified economic development. Public infrastructure and services. - Level - Master's - Eligibility - Enrolled in MCRP ### PLAN 548R : Current Issues in Planning: Urban Analytics **[Julia Harten](/directory/julia-harten)** As more aspects of daily life become digitally mediated, planners can study urban processes in new ways. Urban analytics is an umbrella term for using new data forms in combination with computational approaches to better understand cities. While increasing data availability allows us to ask new questions –or shed new light on enduring ones– planners need to understand and weigh the risks and opportunities of this data revolution. This course teaches the fundamentals and application of python coding for urban data science. Students work on mini-research projects to apply their knowledge, and develop literacy in urban analytics publications and the field’s quickly evolving debates. - Level - Master's - Eligibility - Enrolled in MaP/MScP ![Woman in black blazer](/sites/default/files/styles/square_200/public/profile-images/2024-10/Julia%20Harten%20-%202024.jpg.webp?itok=U5JCfzFf) ### Affiliations - Canadian Housing Evidence CollaborativeCenter for Housing and Urban-Rural DevelopmentHousing Research CollaborativeInternational Association for China PlanningUBC Centre for Chinese Research ### Research and Specialties - China - Community development / social planning - Housing - Urban Analytics [Website](https://sites.google.com/view/juliaharten/)