R&D REPOSITORY

Information from Earth Observation and internet data (mainly Social Media posts) are analysed and fused by using AI algorithms in order to support the protection and rescue of people as well as the protection of critical infrastructure. End users determine their requirements, discuss them with developers to then integrate them directly into technical research. Comprehensive consideration of ethical, legal and sociological aspects is highly relevant to the project. Validation and integrability into existing operational processes are tested in a practical way together with end users. AIFER primarily addresses the disaster scenario of flooding, whereby the transferability to other disaster scenarios is demonstrated.

New pathogens heighten the risk for future outbreaks. Ebola, MRSA and the Corona virus underline how highly transmissible and resistant viruses can constrain decontamination. They cause large sample sizes, are difficult to disinfect from the surroundings and easily cross borders. First responders and societies thus face new risks. In order to protect them better, the whole decontamination process is currently being studied in the French-German research project DEFERM.
As part of this project a novel qPCR-detection system is being developed. It will be automated so that it may be used to analyse multiple samples for up to 12 pathogens in parallel and within 45 minutes. The results will allow first-responders to choose their decontamination set-up accordingly. Disinfection steps target resistant and contagious pathogens and are designed to be deployed in a contactless manner. Enriched by an analysis of crisis management in France and Germany, the project is expected to strengthen international cooperation in the face of novel pandemics.

With the establishment and continuous further development, a data-based information basis is created in order to be best prepared for crisis situations and thus strengthen the resilience of Germany as a business location. The Supply Chain Radar obtains its necessary data for creating transparency in crisis situations from a wide variety of domains, such as the health or energy sector and other external data sources from production, supply chain and logistics. With this information, the impact of crisis events on the value chain is made visible to individual companies and public organizations.