Approved funding „Learning Precedence Relations with Interviews: Optimization Approaches (Learn2WIn)“

We are pleased to announce that we have been awarded the BMVI-funded research project "KIMoNo: AI-based cross-type mobility optimization in non-urban regions" for our project "Learning Precedence Relations with Interviews: Optimization Approaches (Learn2WIn)".

In this project, Prof. Dr. Alena Otto, together with Prof. Dr. Jochen Gönsch from the University of Duisburg-Essen and Dr. Benedikt Finnah, is investigating how interview-based data collection can be even more targeted and thus conserve resources. Interviews are indispensable in many cases, but each individual question involves time and costs. It is therefore necessary to be clear in advance which questions will yield the best results. Our research team wants to develop algorithms and find methods to solve this data collection optimization problem.