Title: Finding the Fault Lines: Detecting Urban Social Boundaries using Social Data Science
Room: Bush House BH(S)5.01
Date: 28th January 2020
In urban environments, social boundaries are the areas that emerge from processes of economic inequality and social segregation. These boundaries are important, as they serve both as areas of interface, conflict, and demarcation. By applying geographical thinking to classic methods in data science, we can better understand where these boundaries emerge and how they delineate communities.
Levi John Wolf is a Senior Lecturer at the University of Bristol and a Fellow with the Alan Turing Institute. He works on problems across social science, such as electoral district manipulation, segregation, sorting, and inequality, as well as developing novel statistical methods to interrogate them.
Photo by Sebastian Estrada Unsplash