The issue of segregation in education has traditionally been examined from the individual level (e.g., parent surveys, choice analysis, etc.) as well as from macro-level statistics (e.g., changes in segregation level, region, city or national level). By using a novel complexity science approach, the research team will connect these two levels, to understand how seemingly innocuous changes in individual behaviour or societal context can lead to drastic changes in macro level dynamics.
The research consists of two parts: the first will examine patterns and trends of segregation that lie at the different intersections of class and ethnicity. In particular the project will look at differences within highly educated groups, and intersections of migration background, income and educational attainment. The second part will develop an agent-based model of school choice and school allocation, that will make it possible to study how potential disruptions (e.g. policy interventions, demographic scenarios) impact choice and resulting patterns of school segregation.
Partners in this project are the City of Amsterdam and the Inspectorate of Education.
Faculty of Social and Behavioural Sciences
GPIO : Urban Geographies