The Minds for Mobile Agents (M4MA) project aims to realistically model how pedestrians with diverse individual characteristics move around spatial and social environments while fulfilling complex goals. M4MA’s “predictive pedestrian” agent model simulates and explains the causes of pedestrian movement by combining tools from cognitive decision modelling and behavioural data science. The model was originally developed to understand and test physical-distancing protocols, and is now applied more broadly to problems involving pedestrian flows where individual differences play a crucial role. This project is led by Associate Professor Dora Matzke and Révész Visiting Professor Andrew Heathcote.