Digitalization brings companies closer to their end customers, thereby moving the boundaries of corporate information systems to the homes, cars, and communication devices of private individuals. Our mission is to develop the methods and theories that help create value from the emerging data and use it to foster a sustainable development.

We combine research on machine learning and behavioral economics to recognize patterns in data, learn about consumer behavior, help create rich customer interaction, conserve resources, and support individuals in their everyday lives.

With a clear focus on the practical impact of our work, our team closely collaborates with industry partners, federal agencies, and our spinoff companies. The nexus of methods, theory, and practical applications also constitutes an important cornerstone of our teaching activities.