The research and development work of the department aims at providing high-quality data for industry and science. Main research areas are (1) the development of effective methods to ensure data quality in data acquisition as well as reliability and representativeness of information derived from data, (2) the exploitation of yet untapped data sources by developing novel methods for data collection and for incentivizing data sharing, and (3) the creation of effective and target group-oriented data access. Cross-cutting topics of the department are the consideration of human factors in the development of data science methods as well as the development of effective concepts for knowledge and technology transfer as essential foundations for the effectiveness and acceptance of data-based applications.
Working Groups:
Distributed Intelligence & Open Innovation
Technological solutions can help to overcome current and future economic and societal challenges. The basic prerequisite for the effectiveness of these solutions, for example in the form of increasing resilience, are corresponding transformation processes. ...[more]
Applied Web- and Social Media-Data Analysis
The AWA group researches practice-relevant methods and develops modular software systems for the analysis of unstructured data and data streams with a special focus on text messages in social media. Various online platforms, such as Twitter or Reddit, enable active participation in global public discourse. ...[more]
Data Availability and Provision
The working group researches and develops user-centered methods for obtaining and providing data as a basis for innovative data-based applications and services as well as for data-driven research. ...[more]