Welcome

The Institute for Information Systems (WIN) was established on January 1, 2025 at the Karlsruhe Institute of Technology (KIT).  The founding of the WIN Institute at KIT is a response to the growing importance of investigating and designing the digitalization of economy and society from a socio-technical perspective.

The mission of WIN is to create value from information! We strive for top-tier research in information systems and related fields, leveraging unique research infrastructures, strong community ties, and close collaboration with business, society, and politics to drive innovation. We deliver solutions for real-world problems, and inspire as well as challenge our students through research- and practice-based teaching.

 

 

The following research groups belong to WIN:

Information Systems I | human-centered systems lab (h-lab) Prof. Dr. Alexander Mädche
Information Systems II - Digital Energy Markets TT W1 N.N.
Information Systems III Prof. Dr. Jella Pfeiffer
Information Systems IV - Digital Platforms & Services TT W1 N.N.
Information Systems V - Hybrid Intelligence in Organizations W1 N.N.
Information and Market Engineering (IM) Prof. Dr. Christof Weinhardt

In addition, two industry-on-campus groups belong to WIN:

Digital Service Innovation (DSI) - IBM Industry-on-Campus Group Prof. Dr. Gerhard Satzger, Dr. Carsten Holtmann

EnBW Industry-on-Campus Collaboration

Dr. Rainer Hoffmann, Dr. Sebastian Sternberg

News

Participation at the International Conference Wirtschaftsinformatik (WI) 2025
Participation at the International Conference Wirtschaftsinformatik (WI) 2025

The Institute for Information Systems (WIN) will be represented with 3 papers at the International Conference Wirtschaftsinformatik, which will take place in Münster next week. Congratulations to all authors and we are looking forward to seeing you there!

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New Member of the DSI Team: Ida Meier
New Member of the DSI Team: Ida Meier

We welcome Ida Meier as a new team member and doctoral researcher at the digital service innovation (DSI) lab of Prof. Satzger at KIT.Ida graduated from the Karlsruhe Institute of Technology (KIT) with a bachelor's and master’s degree in Industrial Engineering and Management. For her master’s thesis at the DSI lab, she collaborated with Bosch Sensortec on a project focusing on data-driven sensor applications.

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Exciting Results from KIT’s Data Science Challenge 2025!
Exciting Results from KIT's Data Science Challenge 2025!

August 6 marked the culmination of an incredible 3-month collaboration between our students at the Karlsruhe Institute of Technology (KIT) and industry leaders Trelleborg and IBM. Five ambitious projects tackled real-world challenges in data science and machine learning - and the results exceeded our expectations.

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Final Capstone Presentations  at EnBW – Designing Human-AI Interaction for Advanced Customer  Experiences
Final Capstone Presentations at EnBW – Designing Human-AI Interaction for Advanced Customer Experiences

In partnership with EnBW , students worked on a highly relevant challenge in designing Human-AI Interaction for enhancing customer experiences for services & sales. 8 student groups showcased their unique prototypes and research journeys, all grounded in the human-centered design process. A diverse range of thoughtful, creative, and practical prototypical solutions, each shaped by the group’s individual lens on the problem space, were presented.

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WIN at the 11th International Conference on Computational Social Science
WIN at the 11th International Conference on Computational Social Science

From July 21–24, 2025, our team attended the International Conference on Computational Social Science (IC2S2) in Norrköping, Sweden.
David Borukhson, Amal Labbouz, and Ina Ni from the Digital Democracy and Participation group represented the project Social Sentiments in Times of Crises (SOSEC) and contributed with one talk and two posters.

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WIN@UIST: 1 Full and 1 Late-Breaking Work Paper Accepted
WIN@UIST: 1 Full and 1 Late-Breaking Work Paper Accepted

The Institute for Information Systems (WIN) will be present with one full paper and one late-breaking work paper at the ACM Symposium on User Interface Software and Technology. UIST is the premier forum for innovations in human-computer interfaces and brings together people from diverse areas, including graphical & web user interfaces, tangible & ubiquitous computing, virtual & augmented reality, multimedia, new input & output devices, human-centered AI, and CSCW

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Successful PhD Defense Marcel Fassnacht
Successful PhD Defense Marcel Fassnacht

A large part of the potential for AI applications remains untapped – as data is distributed across different organizations.
But there is hope… - (now Dr.) Marcel Fassnacht today very successfully defended his thesis on “Inter-Organizational Data Sharing: Concept, Organizational Readiness, and Data Ecosystem Design” at Karlsruher Institut für Technologie (KIT).
 

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New Management at MuT — Welcome to Meike Hebich
New Management at MuT - Welcome to Meike Hebich

We are pleased to announce that as of 1 July 2025, Meike Hebich has assumed the position of office management of the KIT Centre for Humans & Technology (MuT) that the WIN is also associated with. She succeeds Richard Beecroft, who has shifted his focus to research on real‑world labs and sustainability at KIT’s Institute for Technology Assessment and Systems Analysis (ITAS).

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Final Presentations: ABBA Summer School Biosignal-Adaptive GenAI Systems
Final Presentations: ABBA Summer School Biosignal-Adaptive GenAI Systems

The summer school introduced students to the foundations of biosignal-adaptive GenAI systems through an introduction lecture. Subsequently, the participants worked in teams to develop a GenAI-based learning system that processes biosignals capturing gaze and heart activity data to deliver personalized learning experiences. During the summer school, three teams developed impressive working prototypes following a human-centered design process.

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New Publication in BISE: Job Roles Data Science
New Publication in BISE: Job Roles in Data Science

As organizations collect ever-increasing amounts of data from more and more disparate sources, the demand for personnel with skills in data science continues to grow. Simultaneously, the field of data science is complex and has evolved over time, making it difficult for organizations to identify what job roles and associated skills they need to conduct data science successfully. This lack of clarity leads to the misconception that one person, the so-called data science unicorn, can do it all.

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New paper "Conceptualizing hybrid intelligent service ecosystems" in Electronic Markets
New paper "Conceptualizing hybrid intelligent service ecosystems" in Electronic Markets

The paper "Conceptualizing hybrid intelligent service ecosystems" has been published in Vol. 35 of Electronic Markets.

 

The research integrates concepts from human-AI collaboration and service research to present a framework for hybrid intelligent service ecosystems (HISEs). The paper builds on existing knowledge of service ecosystems by examining how human and artificial entities can be intentionally organized for value co-creation through hybrid intelligent service exchange, thereby influencing the formation and evolution of ecosystems.

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Can a machine treat depression? ZEIT-article about research done at h-lab
Can a machine treat depression? ZEIT-article about research done at h-lab

In collaboration with psychotherapists from University of Greifswald, Florian Onur Kuhlmeier, Leon Hanschmann and Alexander Maedche at the human-centered systems lab (h-lab) of the Institute for Information Systems (WIN) are exploring how to train AI systems to provide cognitive behavioral therapy to young people with depression. The team developed a chatbot using large language models that learns therapeutic techniques similar to how human therapists are trained, using, treatment manuals, artificial users and feedback from trained psychotherapists.

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