We study the foundation, development and evaluation of information systems (IS) that employ artificial intelligence (AI) and related techniques. Central techniques for us are: deep learning, image analysis, knowledge graphs, machine learning, and natural-language understanding.
We are an interdisciplinary ICT research group with backgrounds in areas such as: artificial intelligence, computer science, cognitive science, data science, information science, information systems, and software engineering. We combine research methods from data science, design science research, and information retrieval, among others.
We investigate a wide range of application areas such as: digital multimedia forensics, decision making in health IS, personal data analysis, and sustainability. A particular focus is intelligent information systems for the media sector, for example for news production. In many of these domains, we exploit user-generated content from social media, usually in combination with other information sources.