Imagine having a giant map that doesn't just show where the water rises, but how that affects your local shops, farms, and power grids all at once. Instead of looking at these problems in separate folders, this tool connects the dots to see how one fix might accidentally break something else. It's like a stress-test for a city's future to make sure climate plans actually work on the ground.
Companies and cities often plan for climate change in silos, ignoring how a solution in one sector (like energy) might create a new risk in another (like water management). This leads to inefficient spending and failed resilience strategies.
["An ICT toolkit containing decision-making tools and a catalogue of adaptation strategies.", "Open-source code for an Integrated Assessment Model (IAM) with downscaling algorithms."]
If you are a risk assessment firm dealing with unpredictable climate losses — this project developed a cross-sectoral methodology for modelling impacts and risks that allows for more accurate vulnerability assessments. This helps in pricing premiums based on validated local data from 5 different European contexts.
If you are an agri-tech consultancy dealing with crop failure due to weather shifts — this project developed a catalogue explorer of adaptation and mitigation strategies. This allows you to suggest proven interventions based on a consistent KPI panel across different scales.
If you are a developer dealing with strict climate neutrality regulations — this project developed an ICT toolkit for decision-making. This provides a way to simulate how new buildings interact with regional climate goals before breaking ground.
Based on available project data, no pricing or licensing costs are mentioned; however, the project produces an open-source-code Integrated Assessment Model.
The project is designed to be consistent across scales, from local case studies to national, EU, and global levels using the WILIAM model.
Based on available project data, the project specifically mentions the creation of an open-source-code IAM, suggesting a non-proprietary approach for the core model.
It uses downscaling algorithms for climate data to bridge the gap between global climate models and local regional needs.
The project period runs from 2022-06-01 to 2026-05-31, indicating the tools are currently in development and validation phases.
The consortium is heavily weighted toward research and academic expertise, with 7 research organizations and 1 university. Business involvement is relatively low at 12% (2 industry partners), suggesting the output is currently more of a scientific tool than a commercial product. However, the inclusion of 6 'other' entities and 8 different countries ensures a broad geographical and institutional validation base.
Contact Fondazione Bruno Kessler in Italy for technical details on the ICT toolkit.
Request a demo of the open-source IAM and the KPI panel for your region.
