Central-European Regional Floods (Germany)
TEMA is a four year long project funded by the European Union flagship research and Innovation programme Horizon Europe, under the call HORIZON-CL4-2022-DATA-01-01 “Methods for exploiting data and knowledge for extremely precise outcomes (analysis, prediction, decision support), reducing complexity and presenting insights in understandable way”.
The objectives of TEMA are specifically to:
The goal of TEMA is to deliver a technical solution that is supportive in disaster response and management by bringing situational data to relevant end-users, enabling transferability to tackle different disaster types in various geographic region thus providing the relevant information that can help make the best possible operative decisions. TEMA will provide a tool that:
It will allow human operators to understand complex Natural Disaster Management phenomena and easily evaluate alternative response strategies by a smart selection of platform parameters and by novel ways of combining heterogeneous (visual and non-visual) data and/or augmented reality.
TEMA will improve Natural Disaster Management by providing a state-of-the-art disaster management support system, dynamically exploiting multiple data sources and AI technologies for providing an accurate assessment of an evolving crisis situation.
TEMA solution, that will be able to provide predictions on the evolution of phenomena in (near) real time, will be useful to stakeholders like Civil Protection Agencies and First Responders for increase situational awareness for defining recommendations and guidelines to adopt when dealing with a complex emergency.
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.