Imagine a domino effect where a volcano eruption happens during a pandemic, making everything harder to fix. This project builds a digital map that predicts how one disaster triggers another across different sectors. It's like a high-tech stress test for cities to see where they will break before the crisis actually hits.
Companies and cities cannot predict how one disaster (like a flood) will trigger failures in other sectors (like power or transport). This lack of cross-sectoral visibility leads to failed emergency plans and unexpected financial losses.
An open-source platform for dynamic risk assessment and two stakeholder hubs for crisis management and humanitarian relief.
If you are a shipping operator dealing with unpredictable port closures during compounding weather events — this project developed a dynamic risk assessment platform that identifies how damage in one sector leads to indirect losses in transport. This helps in rerouting assets before the chain reaction occurs.
If you are a reinsurer dealing with systemic risk from multi-hazard events — this project developed new exposure and vulnerability analysis methods. These tools allow for more accurate pricing of risk across different geographical settings like megacities or islands.
If you are a city planner dealing with the vulnerability of critical communication and power grids — this project developed social simulations and serious games. These tools help test risk mitigation options and emergency plans against complex disaster scenarios.
Based on available project data, the platform is being developed as an open-source tool, suggesting no direct purchase price for the core software.
Yes, the project tests its methods across four case study areas and various geographical settings including megacities and islands to ensure scalability.
The project objective explicitly states the development of an open-source platform, which typically implies permissive licensing for users.
The system integrates historical disaster databases, remote sensing data, and artificial intelligence methods to analyze impact chains.
The project period runs from 2022-10-01 to 2026-09-30, indicating the tools are currently in development and testing phases.
The consortium is highly diverse with 19 partners across 11 countries, showing strong international validation. With a 21% industry ratio (4 companies, including 2 SMEs), there is a clear bridge between academic research and commercial application, though the project remains heavily driven by the 11 university and research entities.
Contact Universiteit Twente (NL) regarding the open-source platform access.
Contact us to find the specific AI modules for your risk management needs.
