ADUCAT Actionable Data Space for Urban Climate Adaptation and Related Socio-Ecological Local Transformation
SESSION DAY 1
The EU-funded project ADUCAT (Actionable Data Space for Urban Climate Adaptation and Related Socio-Ecological, Local Transformation) addresses key urban challenges related to climate resilience, including heat mitigation, green infrastructure management as well as infrastructure stability. By combining satellite Earth observation data with AI and machine learning, ADUCAT aims to develop innovative approaches to data management that enable high-frequency monitoring and predictive modeling in urban contexts. The input outlines the types of data being used — from radar-based deformation monitoring to high-resolution temperature forecasting — and illustrates how these data streams could support evidence-based decision-making on the path toward climate neutrality of the City of Vienna.
While the project officially launches in October 2025, the focus lies on the conceptual framework, anticipated use cases, and how data-driven methods are expected to contribute to sustainable urban development.
The EU-funded project ADUCAT (Actionable Data Space for Urban Climate Adaptation and Related Socio-Ecological, Local Transformation) addresses key urban challenges related to climate resilience, including heat mitigation, green infrastructure management as well as infrastructure stability. By combining satellite Earth observation data with AI and machine learning, ADUCAT aims to develop innovative approaches to data management that enable high-frequency monitoring and predictive modeling in urban contexts. The input outlines the types of data being used — from radar-based deformation monitoring to high-resolution temperature forecasting — and illustrates how these data streams could support evidence-based decision-making on the path toward climate neutrality of the City of Vienna.
While the project officially launches in October 2025, the focus lies on the conceptual framework, anticipated use cases, and how data-driven methods are expected to contribute to sustainable urban development.