Ball
The research area "Methods and Data" covers the methodological part of the programme.
An important aspect of the current phase of digital transformation is the generation and availability of large data sets (Big Data). It is indispensable to have a good understanding of new methods like machine learning or methods of artificial intelligence that are used to analyze such data sets to study the impact of digital transformation on the economy. Doctoral students should not only conduct research on the consequences of digital transformation, but should as well learn to use the methods associated with digital transformation to get a deeper understanding of the phenomenon. In the research area "Methods and Data" such new methods are applied to reseach questions in social sciences.
Possible Dissertation Topics
- Development and evaluation of artificial neural networks (KNN) for the anticipation of decision-making consequences within the planning in companies with sparse project data
- Predicitions with the help of Big Data methods
- Use of machine learning methods and high-frequent financial market data to record time-varying complex dependency structures of financial products for an improved risk management
Suggestions for own dissertation topics are highly welcome.