The C2IMPRESS project achieved major progress across technical, scientific, and operational areas, focusing on improved disaster and crisis simulations, multi hazard risk and resilience assessment, and advanced data management for early warning and decision support. The work advanced from developing components toward full system integration, validation, and pilot demonstrations in Türkiye, Greece, Portugal, and Spain. A centralized database was completed and fully operational for secure storage, sharing, and access across pilots. This was complemented by the ontology based Knowledge Graph, which enables smooth interoperability among different datasets, models, and services. Together, these data structures support the integration of meteorological, environmental, socio economic, and behavioral information for multi hazard analysis. The big data tools for social media monitoring were expanded and validated with real events, providing useful insights for situational awareness. Visualisation modules in the C2IMPRESS Platform were further strengthened with clearer dashboards and interactive maps. Human behavior and agent based models also advanced. The Human Behavior Model and Agent Based Model were refined and calibrated using pilot specific datasets. They account for cognitive factors, demographics, and mobility patterns, and were used to generate evacuation scenarios tailored to each case study. These outputs supported authorities by predicting movement patterns and possible bottlenecks. In risk and resilience assessment, the project completed the C2IMPRESS Framework for Multi Hazard Risk Management, Exposure, and Resilience. It was applied in all pilots and provided vulnerability assessments across physical, social, institutional, and environmental dimensions. This helped identify exposure hotspots and population groups with higher risk. By combining dynamic vulnerability mapping with forecast hazard data, the framework offered decision makers a clearer picture of changing risks and supported better prioritisation of adaptation and mitigation measures. Significant improvements were also made in forecasting and early warning capabilities. Existing models were upgraded to improve accuracy and timeliness. New early warning systems were co designed and deployed in three pilots, integrating meteorological nowcasting, hydrological and wildfire forecasting, and impact based alerting. Simulation models for river hydrology, groundwater behaviour, wildfire spread and coastal flooding were improved and aligned with the project’s modelling architecture. A major achievement was the operational deployment of SoS4MHRIN, an AI enabled multi hazard simulation engine inspired by quantum principles. It supports nowcasting, hindcasting, and forecasting across hazard types, improving the detection and prediction of extreme events. The system also offers a scalable environment for future digital twin applications. The project delivered and validated new decision support tools, including the Policy Support Tool and HazardActionEye, an automated and interactive tool that provides real time situational awareness, hazard monitoring, and practical insights. Fourteen different disaster management microservice tools were integrated into the C2IMPRESS Platform, which consists of interoperable services tested through user co-creation workshops, PPCP processes and repeated pilot demonstrations. Together, these developments enhance public understanding of risks, strengthen preparedness, and support more informed multi hazard decision making.
