Bringing the Social City to the Smart City Seminar

Event details

Understanding how individuals use cities remains a considerable challenge. The appearance of new, rich data sets (e.g. human mobility, environmental sensors and social media) has allowed researchers to begin to answer questions about who, why and where individuals are in cities. Extracting insights from these large data sets often requires the novel use of methods drawn from machine learning and network science. This presentation will focus on two complementary strands of ongoing work that is developing ML/AI methods to (i) uncover hidden structures in cities and (ii) dynamically update urban simulations.