Imagine if every emergency service, weather station, and city planner used a different language and a different map. This project builds a universal translator and a shared digital map for climate disasters like floods and fires. It lets different computer models and data sources plug into one system so everyone sees the same risk in real-time.
Organizations struggle with fragmented data and incompatible models when facing extreme weather. This lack of coordination increases the cost and time required to respond to climate disasters.
A Data-Fabric cloud platform for secure data sharing and a plug-and-play system for connecting modeling environments.
If you are a risk assessor dealing with unpredictable flood and drought losses — this project developed a Data-Fabric that integrates diverse data sources. This allows for more accurate multi-hazard risk modeling to price premiums better.
If you are a city planner dealing with aging infrastructure vulnerable to heatwaves and storms — this project developed a plug-and-play system for modeling environments. This reduces the cost of implementing new climate adaptation tools for city resilience.
If you are a data provider dealing with fragmented soil and weather data during droughts — this project developed a federated system connecting public and private clouds. This enables the sharing of structured and unstructured data for better crop protection strategies.
Based on available project data, specific pricing is not mentioned, but the project aims to lower the cost of implementing new modeling environments through a plug-and-play system.
Yes, the project uses a Data-Fabric technique and cloud platforms designed to connect different instances and data sources across public and private clouds.
Based on available project data, there is no specific information regarding licensing terms or patent filings.
The project is designed to align with the SENDAI framework, EU Climate Adaptation Strategy, and EU disaster risk management policies.
The project focuses on interoperability via a federated system and a plug-and-play architecture to simplify the connection of existing data sources.
The consortium is diverse, comprising 17 partners across 8 countries. It shows a healthy mix of academic and commercial interests, with 4 universities and 4 research organizations balanced by 3 industry partners and 5 SMEs. The 18% industry ratio suggests the project is heavily research-driven but has a clear path toward commercial application through its SME involvement.
Contact the Technische Universität Braunschweig
Contact us to explore how the Data-Fabric architecture can be adapted for your risk management needs.
