SENSORITHM Rhein-Main addresses the research and testing of self-learning sensor technologies to automatically detect and classify anomalies in continuous sensor data streams by means of algorithms (especially artificial intelligence, AI). At the same time, a sociological examination of the multidimensionality of innovation networks in the field of tension between technological, ecological, economic, political and social aspects is carried out. As practice-relevant and prototypical application fields, the system reliability of technical components and plants, as well as the conflict field between wind energy and species protection are considered (especially with regard to the collision avoidance of bats and birds with the rotor blades). Close cooperation with partners from industry, universities, institutes, authorities and civil society (environmentalists, associations, NGOs, school classes) creates sustainable and closed value chains in the Rhein-Main region.
- Prof. Dr. Viktor Krozer, Goethe University Frankfurt
- Prof. Dr. Kristian Kersting, TU Darmstadt
- Prof. Dr. Petra Ahrweiler, JGU Mainz
- Prof. Dr. Tobias Melz, Fraunhofer LBF
- Dr. Markus Dietz, Institut für Tierökologie und Naturbildung
Funding number: 03ZK211AA