Imagine a weather app that doesn't just tell you it's raining, but warns you exactly which street corner will flood and which building is at risk. It combines data on earthquakes, landslides, and storms into one smart dashboard. This helps emergency teams get to the right place faster by predicting the actual damage before it happens.
Emergency responders often lack precise, real-time data on how a weather or geological event will actually impact specific buildings or roads, leading to slow or inefficient deployments.
A Multi-Risk Impact-based Early Warning System (MR-IEWS) platform that uses AI and high-resolution risk data to provide site-specific warnings and decision support.
If you are an insurer dealing with unpredictable climate claims — this project developed a Multi-Risk Impact-based Early Warning System (MR-IEWS) that describes the severity of hazards in terms of expected socio-economic impacts. This allows for better risk pricing and faster claims processing.
If you are a logistics firm dealing with route disruptions from geohazards — this project developed real-time decision support systems that integrate high-resolution vulnerability and exposure data. This helps in rerouting assets before a disaster strikes.
If you are a city manager dealing with slow first responder deployment — this project developed site-specific warnings using SMS Cell Broadcast and AI. This enables rapid deployment of responders based on real-time operational use data.
Based on available project data, no specific pricing or commercial cost model is mentioned as it is an EU-funded innovation action.
Yes, the project tests the platform in 6 real-time 24/7 operational demonstrations across different regions, aiming for TRL 7 and 8, which indicates high readiness for industrial scaling.
Based on available project data, the IP and licensing terms are not specified, though it involves a consortium of 27 partners including universities and industry.
The system is designed to trigger actions from regional emergency and self-protection plans using advanced communication services like SMS Cell Broadcast.
The project runs from 2023-10-01 to 2027-09-30, with 24 months dedicated to real-time operational demonstrations.
The consortium is heavily weighted toward public and research entities, with 17 'Other' organizations and 7 combined university/research partners. However, there is a strategic industrial presence with 3 industry partners (11% ratio), including 2 SMEs, suggesting the project is moving from theoretical research toward practical, market-ready tools for civil protection.
Contact Universitat Politècnica de Catalunya
Contact us to explore licensing or partnership opportunities with the GOBEYOND consortium.
