Urban Complexity
Early detection of transforming neighbourhoods using Twitter data: low-rent areas with many affluent visitors are prone to future rent increases. Image: Steentoft, Poorthuis, Lee, Schläpfer, 2018
The aim of the Urban Complexity workstream is to reveal hidden regularities in the organisation of cities by using methods at the intersection of Complexity Science and Big Data Analytics. This new research area allows us to better anticipate systemic behaviour that result from the many interactions of all the components that make up a city, including people and infrastructures.
Updates
New paper in Nature!