Social and technological change requires inter- and transdisciplinary science.

The KIT-Center Humans and Technology (Mensch und Technik - MuT) offers its members an agile platform to help the joint commitment of scientists and change agents achieve greater impact. MuT promotes excellent research, education and collaboration as well as social dialogue to shape sustainable, transformative processes in socio-technical systems.

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News

Real:labor Festival 3.0 Stadt.Gestaltung.Erfahrbar.Machen. TeaserbildTRIANGEL
The REAL:LABOR FESTIVAL 3.0 Stadt.Gestaltung.Erfahrbar.Machen.

Join us from October 6 to 11, 2026, as we focus on designing a sustainable and resilient city. Get a glimpse into a wide variety of reality labs and hands-on activities, and get involved.

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Graphic for the application of the MOOC
Citizen Science course for Ph.D. Students – Sign Up Now!

The KIT CuKnow graduate school invites doctoral researchers to participate in the MOOC “Introduction to Citizen Science” alongside young researchers from around the world. 

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Ausschnitt des Treffens mit Sprecher Prof. Dr. Daniel Lang einem der Sprecher des KIT-Zentrum Mensch und Technik.MuT
International exchange about work an d AI

How are digitalization and artificial intelligence changing our work environment and our well-being? During Prof. Dr. Oğuz Başol’s visit to the KIT Humans and Technology Center, these questions—as well as potential opportunities for international research exchange and networking—took center stage.

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Das corner auf dem KronenplatzTRIANGEL, picture: Sandra Göttisheim
Recap corner@DAS FEST

Right in the heart of the festival, the corner <SCIENCE> to meet you! at DAS FEST invited visitors to explore, participate, and join the discussion. Visitors experienced research on the urban climate up close and engaged in dialogue.

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Events

My twin, my rules – A data café on the future of health data

My twin, my rules – A data café on the future of health data

October 01, 2026 10:00 - 17:00MobiLab am Kronenplatz, 76133 Karlsruhe
Project description  
Digital patient twins combine various types of health data to create dynamic digital models of an individual. This data may include, for example, medical histories, laboratory results, imaging data, information from wearables, and details on the person’s lifestyle or environment. In the future, such models could help simulate disease progression, identify health risks early on, and tailor prevention and treatments more effectively to individual patients. At the same time, digital twins raise fundamental ethical and societal questions: What data should be included in the model? Who decides this? Who may access or reuse the information? How can privacy, autonomy, and fair access be ensured? And who is responsible if a digital twin generates inaccurate predictions or influences medical decisions?
 
The project “My twin, my rules – A data café on the future of health data” brings these questions from research and development into the public sphere. At mobile data cafés located in central areas of Karlsruhe and Kaiserslautern, citizens can participate on the spot and design their own simplified digital twin. Using cards, profiles, and decision-making scenarios, they choose which health data may be included, which information should remain private, and which persons or institutions they would grant access to. The aim is not to create a technically functioning model, but rather an opportunity for reflection and discussion.
 
Concrete dilemma scenarios reveal potential conflicts of interest: Should a doctor be allowed to access all data if this could improve a diagnosis? Should an insurance company be permitted to use health-related predictions? What happens if data is incomplete, biased, or incorrect? The resulting data twins and participant feedback are displayed in a public gallery and on a feedback wall.
 
This joint project of ITAS and Fraunhofer IESE combines research on digital patient twins with participatory technology assessment. It strengthens health data literacy, creates opportunities to discuss future medicine in an informal setting, and introduces a wide range of societal perspectives at an early stage into the responsible, fair, and self-determined design of digital health technologies. Contributions are systematically documented, qualitatively analyzed, and prepared for research, science communication, and knowledge transfer.
 
Project link: https://www.hochschulwettbewerb.net/2026/meinzwillingmeineregeln/
Dr. Dana Mahr und Dipl. Ing. Nora Weinberger, Institut für Technikfolgen­abschätzung und System­analyse (ITAS)