Professor for Digital Business & Data Science
University of Europe for Applied Sciences
Data Science is about enhancing the understanding of social and economic processes through data. The results from data should start discussions and further considerations - they are not the end. In my research I use data in simulation research. Connecting data with simulation provides the opportunity to analyse scenarios beyond observations, identify interdependencies in processes, and derive theory.
Agents for Theory
Although machine learning can come to great results for big data sets, there are some methodical pitfalls from which we potentially may draw wrong conclusions. To understand these results on a deeper level, models are needed that can include theories of individual behaviour in dynamic contexts.
Decisions in the Digital World
Most decisions are nowadays based on data or happen in a digital space. This requires the consideration of individual distortions of perceptions and team decision processes. Applying a mixed-method approach, I use laboratory experiments and simulation to model decision-making processes...
Languages: Python, R
NLP, Chatbots, Learning Agents, Deep Learning, Machine Learning
Algorithms & Data Structures
Understanding complexity through data
BIG DATA MANAGEMENT
Math for digital Technologies