Lezing: Unraveling the spatial pattern of residential segregation in cities

Residential segregation is often defined as the physical separation of different social groups into distinct neighborhoods. Delineating these neighborhoods and tracking their spatio-temporal evolution is key to understanding how urban development has driven residential segregation. In this talk, Lucas Spierenburg will present how unsupervised learning can unravel the latent spatial pattern of residential segregation from demographic data. Then, he will illustrate it in the Dutch context, where he has characterized residential segregation of migrants and children of migrants in all municipalities in the Netherlands. Finally, he will discuss the potential applications of this method, ranging from investigating the relation between observed patterns and physical constraints (rivers, railways…) to tracking the temporal evolution of these patterns.

Registration

Please send an email to Karin Visser if you would like to attend the lecture.