Imagine a weather app that doesn't just tell you it will rain, but predicts exactly how people will panic and move during a flood based on their age and habits. It combines satellite data with social media trends to create a digital twin of a city's risk. This helps emergency services stop traffic jams before they happen during evacuations.
Current disaster management relies on hazard-centric data that ignores how people actually behave and how specific locations react. This leads to inaccurate evacuation plans and slow emergency responses during extreme weather.
The SoS4MHRIN platform, which includes an ontology-based Knowledge Graph, social media monitoring tools, and Agent Based Models for predicting human movement during crises.
If you are an insurer dealing with unpredictable climate claims — this project developed a multi-hazard risk assessment tool that provides fine-grained spatio-temporal data. This allows for more accurate risk pricing and vulnerability mapping in 4 European regions.
If you are a developer dealing with urban resilience — this project developed Agent Based Models that predict movement patterns and bottlenecks. This ensures evacuation routes are designed based on actual human behavior and demographics.
If you are a crisis manager dealing with information overload — this project developed big data tools for social media monitoring. This provides real-time situational awareness to improve early warning and decision support.
Based on available project data, no specific pricing or cost structures are mentioned as this is a Horizon-RIA research project.
The project validated its tools in 4 European case study areas (Türkiye, Greece, Portugal, and Spain), suggesting the architecture is designed for regional adaptation.
Based on available project data, specific licensing terms are not provided, though the consortium includes 7 industry partners and 4 SMEs.
It uses an ontology-based Knowledge Graph to ensure interoperability among different datasets, including meteorological and socio-economic information.
The project period runs from 2022-10-01 to 2025-09-30, indicating it is currently in the validation and pilot phase.
The consortium is heavily weighted toward commercial application, with a 41% industry ratio comprising 7 companies, including 4 SMEs. This balance of 5 universities and 2 research centers suggests a strong pipeline from theoretical modeling to practical, market-ready tools, coordinated by a Turkish SME.
Contact Sampas Bilisim Ve Iletisim Sistemleri Sanayi Ve Ticaret A.S. regarding the SoS4MHRIN platform.
Contact us to explore licensing opportunities for the Agent Based Models used in the 4 European pilots.
