In the PAIRS (Privacy-Aware, Intelligent and Resilient CrisiS Management) research project, researchers are developing a platform that provides data-based recommendations for crisis management. In the field of civil protection, targeted preparation and planning of emergency services is crucial in order to be able to react quickly and effectively to crisis situations, such as critical weather conditions or resource shortages.
In an initial test, an AI tool developed by the German Research Center for Artificial Intelligence (DFKI) has now been tested in which historical operational data from the German Federal Agency for Technical Relief (THW) was linked with German weather data.
The highlight here is that the data collected in the tool was processed in such a way that predictions include, for example, how weather extremes affect the duration of the operation or the required emergency personnel (number, expertise).
Experienced THW emergency personnel simulated a simplified command and coordination team in mid-November 2023 in order to familiarize themselves with the AI tool. During the test, it became clear that the AI can dynamically adapt forecasts for the required emergency personnel to different weather situations. In a subsequent debriefing, the participants discussed possible adaptations to the AI tool for use by the staff.
The exercise took place as part of the PAIRS project funded by the Federal Ministry for Economic Affairs and Climate Protection (BMWK) with the participation of the consortium partners THW, DFKI and IPA.
Photos (THW / Ronja Krüger): 1: Interface of the AI tool with map view; 2: THW volunteers discussing the AI tool with a researcher; 3: Brief instructions for test participants; 4: THW volunteers during the situation briefing in the simulated staff.
THW tests artificial intelligence (AI) for personnel planning in disaster control In the PAIRS (Privacy-Aware, Intelligent and Resilient CrisiS Management) research project, researchers are developing
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