RELIABLE

Summary

The RELIABLE project aims to create a real-time, high-spatial-resolution public dashboard for assessing health risks to building occupants during extreme weather events like heat waves and cold waves. This initiative seeks to enhance existing warning systems in two key ways: firstly, by improving risk prediction models through machine learning algorithms applied to new public data sources, and secondly, by increasing the spatial and temporal precision of warnings down to the statistical subsection level (BGRI). This comprehensive effort involves collecting and processing data from various sources, including historical health data, high-resolution weather forecasts, updated census information, and building energy performance certificates. The culmination of these efforts will result in a new indicator model accessible via a public dashboard that provides location-specific alerts to various stakeholders and authorities, significantly improving preparedness and response during extreme weather events.