Arbeitsbereich: Computer Science

Maike Behrendt is a research associate at the Chair of Machine Learning in Computer Science at HHU-Düsseldorf since January 2021. In addition, she is a collaborator in the use case policy of the Manchot research group on the topic of supporting political decisions with the help of artificial intelligence. She studied Business Informatics (B. Sc.) at the University of Cologne and Computer Science (M. Sc.) at the HHU-Düsseldorf.

She is currently doing her PhD on the topic “Natural Language Processing for Discussion Platforms”.

Julia Romberg joined the junior research group “CIMT – Citizen Involvement in Mobility Transitions” at HHU-Düsseldorf in 2019. She studied computer science at the University of Düsseldorf and the Universidad Politécnica de Madrid. In the context of her dissertation, Julia Romberg deals with the question of how the evaluation of textual contributions of consultative public participation can be supported in an automated way.

Her research focuses on the analysis of arguments and the thematic classification of texts.

Photographer: ©Tilman Schenk

Prof. Dr. Stefan Dietze is Professor of Data & Knowledge Engineering at HHU-Düsseldorf and Scientific Director of the Knowledge Technologies for the Social Sciences Department at GESIS (Leibniz Institute for the Social Sciences) in Cologne. In his research, he works on harnessing large amounts of data from the Web using methods of Natural Language Processing (NLP), information retrieval, and machine learning. As scientific head of the Knowledge Technologies for the Social Sciences department at GESIS, a particular focus is on the use of (social) web data for interdisciplinary research questions in the social sciences.

At DIID, he is interested in the investigation of online discourse using NLP-based methods, e.g., for the recognition and classification of statements or sources or the understanding of information diffusion in social networks.

Björn Ebbinghaus has studied Computer Science at the HHU-Düsseldorf since 2013. He completed his Bachelor of Science degree in 2017. At the same time, he was already working on D-BAS, the dialog-based argumentation system, a project of the first phase of the Research Training Group, as a student assistant. During his master studies at the HHU, he focused on the use of argumentation systems in natural language environments, such as chat systems, by chatbots.

In his master thesis he investigated the possibilities of extending existing argumentation systems with a subsequent decision making process. For this purpose, an experiment was conducted with the student body of computer science to test whether this kind of decision making is perceived as fair and acceptable by the students. Since January 2019 he is employed as a research assistant at the Chair of Computer Networks of Prof. Martin Mauve, where he is researching the practical application and development of systems for decision making.

Prof. Dr. Jörg Rothe has headed the Complexity Theory and Cryptology Group at the Institute of Computer Science at HHU-Düsseldorf since 2000. His research interests lie in computational social choice, algorithmic game theory, and fair division, focusing in each case on the algorithmic and complexity-theoretic treatment of the relevant problems.

In the context of DIID, he is interested in formal models of theoretical computer science for the description and evaluation of user interactions in online participation processes.

Jun.-Prof. Dr. Dorothea Baumeister is junior professor for theoretical computer science at HHU-Düsseldorf since September 2013. Since 2017, she is head of the DFG project “Distances in Elections”. In her research, she focuses on axiomatic and complexity-theoretic analysis of the fields of preference aggregation, voting systems, and distributional problems.

At DIID, she is particularly interested in the formal modeling of online participation processes and the influence of distances in online election processes.