Political Violence in Athens, Greece (2008-2024): A Machine Learning Approach for Predictive Modelling of Spatial Risk Patterns
Political violence in Athens exhibits distinctive spatial and temporal regularities shaped by the city’s symbolic infrastructure, mobility patterns, and socio-political dynamics. This thesis integrates environmental criminology with spatially explicit machine-learning techniques to examine risk patterns of politically motivated violence between 2008 and 2024. Using a multi-layered dataset of 610 a
