Spatial analytics + data seminar series: The Interviews
Tuesday 14 Jun 2022
Time: 16:00 - 17:00
Bio
Levi John Wolf is an Associate Professor of Spatial Analysis at the University of Bristol. He completed his PhD at Arizona State University in the GeoDa Center for Spatial Analysis & Computation in 2017. He relocated to Bristol from Brooklyn in 2017 after working with CARTO, a spatial data sciences company.
Dr Wolf's research for The Alan Turing Institute revolves around using machine learning to better understand spatial systems, like cities, ecosystems, and societies. His recent work has focused on developing novel geographic machine learning, causal inference, and exploratory statistical methods to understand electoral redistricting, affordable housing, and species distribution modelling.
Research interests
Dr Wolf's research for The Alan Turing Institute revolves around using machine learning to bound and link cities using new forms of data. The work examines how areas in which we live and work might not overlap well with the boundaries of city governments or federal agencies. By understanding where the formal city stops, we can gain a better understanding of urban areas that are left out of formal infrastructure, development, governance, and analysis areas.
