When it comes to test an emergency management solution for natural disasters, like TEMA, it is crucial to test the solution in several scenarios, but at the same time it is extremely difficult to perform a test right in the place and time where a natural disaster is happening, as there is no such warning with enough time and enough resources to plan the deployment of a test unit for such situations.
Figure 1: CAVs are used to represent concepts, such as biases (e.g., a timestamp in fire classification tasks), in the latent space of DNNs.
Emergency management practitioners across Europe are invited to participate in the TEMA Open Demo Days, taking place from 25 May to 07 June 2026. Organised within the Horizon Europe-funded project TEMA (Trusted Extremely Precise Mapping and Prediction for Emergency Management), the initiative offers civil protection professionals, first responders and crisis management stakeholders the opportunity to access and test advanced decision-support technologies through realistic operational scenarios.
When a natural disaster occurs, the situation on-site can be quite chaotic and overwhelming, making it hard to understand for emergency responders. To react effectively, a detailed understanding of the situation on the ground is required, as it determines where resources and manpower are deployed. After events such as floods or earthquakes, traditional methods of information gathering and transportation are often hindered, e.g. by physical barriers or overwhelmed call centres.
