Imagine having a high-tech early warning system that doesn't just track weather, but understands how people actually react to it. It's like building a safety net for cities by testing different tools against fires, floods, and heatwaves in real-world settings. The goal is to find the best combination of tech and human behavior to keep people safe before a disaster hits.
Current disaster warnings often ignore human behavior and the complex overlap of different climate risks, leading to ineffective evacuations and high economic losses during extreme events.
A set of 10 real-world demonstrators, prototypes for innovative insurance products, and IoT-based warning systems integrated with citizen science.
If you are an insurance provider dealing with unpredictable climate claims — this project developed prototypes of innovative insurance products that use multi-risk data to better price and manage climate extremes.
If you are a hardware firm dealing with low user adoption of warning systems — this project developed joint IoT and citizen science initiatives that improve how warning systems are built and used by locals.
If you are a consultancy dealing with city vulnerability to floods or landslides — this project developed a set of 10 demonstrators to prove which risk management tools actually work in different territorial contexts.
Based on available project data, no specific pricing or cost structures for the developed tools are provided.
Yes, the project specifically includes a work package on transferability and scalability to ensure innovations can be adopted extensively across Europe.
Based on available project data, specific licensing terms are not mentioned, though deliverables are hosted on a ZENODO repository and a web portal.
The project uses IoT and citizen science to develop warning systems, integrating technical monitoring with human behavior data.
The project runs from 2022-10-01 to 2026-09-30, focusing on both short-term (days to months) and long-term (years to decades) horizons.
The consortium is heavily weighted toward research and academia, with 16 universities and research institutes (out of 27 partners). However, the inclusion of 2 SMEs and a total industry ratio of 7% suggests a focus on translating scientific findings into practical tools, supported by a broad geographic reach across 12 countries.
Contact Università degli Studi di Salerno regarding the 10 demonstrators' results.
Contact SciTransfer to identify which of the 10 demonstrators matches your regional climate risk profile.
