The study of human crowds can contribute to the well-being of our society. The study generates challenging analytical and computational problems. Dynamics are influenced by social interactions and collective learning. Modelling requires a multiscale view and takes into account the quality and geometry of the place where the dynamics occur. This lecture aims to provide an answer that can be given to the following key questions: Why a crowd is a social, hence complex, system? How mathematical sciences can contribute to understand the behavioural dynamics of crowds? How the crowd behaves in extreme situations such as panic and how models can depict them? The answer to the key questions take advantage of recent research activity. The answer opens challenging research perspectives.
This video was produced by the SITE Research Center at New York University, as part of their talk series.
