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The members of this panel discussion are working together with other partners – including research institutions, corporations and start-ups – on the biological transformation of industrial manufacturing in the large-scale project »BioFusion 4.0«. Read their thoughts about how environmental impacts are operationalized and measured in the project and how people can be made aware of the issue .

The mobility of the future is already being powered by a variety of drive technologies. Each one has its own strengths and weaknesses. Kurt Blumenröder, CEO of T-Cell AG, Dr. Rüdiger Schwarz, Head of Strategic Communication PtX Projects at EDL Anlagenbau, and Prof. Dr. Dr. Eckart Uhlmann and Prof. Dr. Julian Polte from Fraunhofer IPK discuss which technology will ultimately win the race.

Current headlines on the automotive industry in Germany are mostly a cause for headaches. Meanwhile, experts at Fraunhofer IPK are paving the way out of the crisis.

A single car contains thousands of components of different geometries. Soon, robots will be able to handle their delicate assembly – flexibly and autonomously.

Necessary evil or an opportunity for more sustainability? A case for battery passports as a value-creating application of data ecosystems

Steel as a sustainable lightweight material? What appears contradictory at first could revolutionize the design of battery housings for electric vehi-cles, making e-mobility even more eco-friendly.

A passenger flight in 2050: low-emission, quiet, safe, affordable? The aviation industry faces enormous challenges on the journey to a new generation of propulsion systems.

Hydrogen, batteries or e-fuels – which drive technology will prevail? Research in production science provides industry and politics with crucial insights.

Rail is considered one of the most climate-friendly modes of transport. In Germany, however, it is often criticized. A guest article by Dr. Sascha Reinkober, Head of Large-Scale Machinery Deployment at DB InfraGO AG.

Politicians are calling for a more circular economy. This requires the digitalized, automated disassembly of used parts. And yet innovative, AI-supported solutions are lacking a solid data basis.