home » research » networks


The Bavarian scientific ecosystem of artificial intelligence (AI) consists of universities, universities of applied sciences and non-university research institutes. They closely collaborate not only in various projects but also in long-term networks driving AI innovations.

The AI Campus Eastern Bavaria is a cooperation platform with which the Eastern Bavarian colleges and universities want to bundle their competencies on the topic of artificial intelligence, strengthen scientific exchange and expand cooperation with business and society.

The network focuses on local businesses and seeks to optimize their production and automation through AI methods. The aim is to strengthen the competitiveness of companies and thus promote the regional economy.

The Big Data Value Association (BDVA) is a prominent organization uniting experts, businesses, and research institutions in the field of Big Data and data analytics. It fosters innovation, knowledge exchange, and collaboration for data-driven solutions.

The Campus of the Senses is a cooperation of Fraunhofer institutes with the University of Erlangen-Nuremberg and is dedicated to the perception of taste and smell and their transformation into technical machine and digital concepts.

The center drives the digital transformation in Bavaria and networks Bavaria-wide projects and cooperations with companies and universities.

CLAIRE (Confederation of Laboratories for Artificial Intelligence Research in Europe) aims to strengthen Europe’s outstanding position in research and development of Artificial Intelligence. Its extensive network forms a pan-European alliance of research laboratories for Artificial Intelligence in Europe.

The ELLIS Unit Munich is part of the European ELLIS network and combines the expertise of Technical University of Munich (TUM), Helmholtz Munich and other cooperation partners, especially in the development of novel machine learning methods and their application in biomedicine, computer vision and earth observation.

etami represents ethical and reliable Artificial and Machine Intelligence. By converting ethical AI principles from both European and worldwide contexts into practical and quantifiable directives, tools, and techniques, etami facilitates and advocates for the dependable and ethical conception, construction, and implementation of AI systems.

The goal of the German Data Science Society is to be the leading association of academically trained data scientists, while involving relevant activities at colleges and universities.