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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
