Stärkung der Rettungskette unter Extremwettereinflüssen durch den Einsatz von Künstlicher Intelligenz am Beispiel Lausitz

• February 2026
• Joachim von Beesten, Nahid Akhtar, Jesse Beisegel, Hanna Denecke, Felix Dohmeier, Armin Fügenschuh, Sai Jithendra Gangireddy, Thorsten Hansler, Franz Kroll, Mario Müller, Tim Stuchtey, Sascha Zell, Ingolf Zellmann

• Number 12
• AIRCIS

The mFund project AIRCIS – Artificial Intelligence in Rescue Chains aimed to increase the resilience of rescue services in Lusatia. To this end, the number of incidents was predicted using artificial intelligence based on historical data from a control center, and a simulation was developed to replicate the entire rescue chain. By integrating additional data, such as weather warnings, control centers can be supported in the targeted planning of their resources. The project outcomes and the resulting recommendations for action are presented in the study.