Using the latest technologies to solve complex environmental problems through the application of AI: this is what the AI Research centre for tackling global environmental problemsExternal link (ELLIS Unit Jena), funded by the German Federal Ministry of Education and Research (BMBF), is doing.
The Cluster of Excellence "Balance of the Microverse"External link aims to understand the formation and balance of microbial consortia and their interactive networks and to develop innovative solutions to combat diseases and environmental imbalances.
To research safe and sustainable water supply and new water technologies, the BMBF is funding the "Thuringian Water Innovation Cluster" de (ThWIC) initiated by the University of Jena together with the Fraunhofer Institute for Ceramic Technologies and Systems (IKTS) and the Ernst Abbe University of Applied Sciences (EAH) Jena.
The AMMOD projectExternal link (of the Computer Vision Group Jena, Prof. Denzler) aims at automated recording of biodiversity, from automatic sampling, image recognition and analysis of scents and acoustic signals to the development of technologies for data archiving, visualisation and analysis.
The joint project "Nucleus Jena – A Paradise for Innovation"External link of the Friedrich Schiller University Jena and the EAH Jena aims to develop Jena into a leading transfer and innovation region in Germany and to recommend itself as a model region for similarly structured economic areas.
The Michael Stifel Center JenaExternal link (MSCJ) was founded in 2015 to continuously network scientists and strengthen their interdisciplinary exchange around digitalization. It is dedicated to data-driven and simulation-based sciences and their application from the natural sciences to the social sciences, behavioural sciences and humanities. It operates the virtual workshop on digitalization in the sciencesExternal link with funding from the Carl Zeiss Foundation and addresses fundamental questions of computer science there with the premise that breakthroughs in these areas are crucial for successful digitalization in the sciences.