Maria Oikonomou has successfully defended her PhD thesis titled “Multilevel crash risk assessment under autonomous vehicle integration: From partial to full autonomy through urban traffic simulation”, under the supervision of NTUA Prof. George Yannis. The thesis develops a validated, simulation-based framework for estimating crash risk during the transition from partial to full Autonomous Vehicle (AV) deployment. A systematic review establishes an evidence-based repository of AV behavioural parameters to support traffic microsimulation. The methodology integrates conflict-based Surrogate Safety Measures and a novel Time-To-Collision-based conflict-to-crash-risk conversion procedure, validated through k-means clustering against observed crash patterns. Applied to a high-fidelity simulation model of central Athens, the framework evaluates fifteen AV deployment scenarios across varying penetration levels. The multilevel assessment includes road-level modelling with XGBoost and SHAP to quantify the influence of traffic, infrastructure and automation, and conflict-level spatial analysis using the Getis-Ord Gi* statistic and a binomial GAM to detect high-risk hotspots. Results reveal that crash risk initially increases in mixed-traffic conditions before decreasing as automated behaviour becomes dominant and stabilises network interactions.