Our research is concerned with the development of innovative computational methods for the analysis and simulation of human mobility based on spatio-temporal data. Further, we examine the potentials of information and communication technology (ICT) for inducing more sustainable mobility behavior.

For this, we combine competences and methods from diverse fields such as Geographic Information Science (GISc), Artificial Intelligence (AI), Data Mining, Transportation Modeling, Spatial Cognition, and Learning Analytics. Our interests span from location-based services (LBS), trajectory data analysis, agent-based models and simulation, algorithms and models for spatio-temporal information, to mobile learning visualizations and learning analytics.

Read more about our research in the following core areas: