A

AIA CES Credits

AV Office

Abstract Publication

Academic Affairs

Academic Calendar, Columbia University

Academic Calendar, GSAPP

Admissions Office

Advanced Standing Waiver Form

Alumni Board

Alumni Office

Architecture Studio Lottery

Assistantships

Avery Library

Avery Review

Avery Shorts

S

STEM Designation

Satisfactory Academic Progress

Scholarships

Skill Trails

Student Affairs

Student Awards

Student Conduct

Student Council (All Programs)

Student Financial Services

Student Health Services at Columbia

Student Organization Handbook

Student Organizations

Student Services Center

Student Services Online (SSOL)

Student Work Online

Studio Culture Policy

Studio Procedures

Summer Workshops

Support GSAPP

Close
This website uses cookies as well as similar tools and technologies to understand visitors' experiences. By continuing to use this website, you consent to Columbia University's usage of cookies and similar technologies, in accordance with the Columbia University Website Cookie Notice Group 6

Finding the Fault Lines: Estimating the Boundaries in Urban Social-Spatial Inquiry

Tue, Nov 19, 2019    1pm

Segregation, sorting, and spatial social division is a common property of many cities. It emerges in many different urban systems and polarizes along different social axes throughout history. Integral to many theories of urban conflict in sociology and market formation in urban economics, understanding where and how social dividing lines develop is important to understand and explain urban social structure. Recently-developed information-theoretic methods can help provide better understanding of the spatial and social distribution dynamics underlying urban social change. This talk will discuss some of these methods, demonstrate their application to segregation and economic sorting in high-quality longitudinal demographic data.

Levi Wolf is a Senior Lecturer based at the University of Bristol, in the United Kingdom. He also is a Fellow at the University of Chicago Center for Spatial Data Science, a Fellow with the Alan Turing Institute for Data Science & AI in London, and is an Affiliate Faculty at the University of California, Riverside. Dr. Wolf completed his PhD on gerrymandering at Arizona State University in 2017 with Profs. Sergio Rey, Luc Anselin, Stewart Fotheringham, and Wendy Tam Cho. Currently, he works on developing new data scientific and Bayesian statistical methods to improve our understanding of boundaries and bounding in urban social fabric, engaging with political problems (studying the emergence and geographical structure of gerrymandering), social questions (examining barriers to movement, settlement, and social ties in neighborhood formation), and economic issues (understanding cluster development policy and regional urban economic planning). In the past, Dr. Wolf has worked in industry as a geographic data scientist, and leads and contributes to many open source geographic data science projects in Python.

LiPS is free and open to all. Refreshments will be provided.