Data Science & Natural Language Processing (NLP)

Our research objective in the field of data science and natural language processing (NLP) is the development of innovative methods and tools for the collection, utilization, processing, and analysis of research data - e.g., data from social media or smart devices.

The main areas of application are the linking of digital behavioral data with survey data and the development and validation of computational social science methods for measuring socially relevant constructs based on digital behavioral data.

Another focus is the development of NLP methods for the automated indexing and processing of unstructured scientific information resources, such as publications or data sets, to improve their findability, usability, and reproducibility.

Our research contributes to improving the quality of research data and methods of computer-based social sciences (such as machine learning models).