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29 -June -2022
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The Collide research group at the University of Duisburg-Essen (formerly Gerhard-Mercator-Universität Duisburg) forms part of the Department of Computer Science and Applied Cognitive Science within the Faculty of Engineering.

The department offers study programmes in applied computer science, computer engineering and interactive media technology, the latter in the form of an interdisciplinary B.Sc./M.Sc. programme in “Applied Media and Communication Sciences”. In this framework, the research group Collide (”Collaborative Learning in Intelligent Distributed Environments”, link: aims at developing distributed, intelligently supported environments for collaborative learning and knowledge management. In the research project VIP-Net (“Virtual Work and Learning in Project Based Networks”, 2005-07) funded by the German Federal Ministry of Research and Education (BMBF), Collide has developed computational approaches as well as tools for the analysis of trends and social ties in professional communities with support for professional of freelancers as an application case. In the ongoing BMBF project KoPIWA (“Development of Competencies and General Support of Network Based Open Innovation Processes in the Digital Economy Sector by Knowledge Modelling and Analysis”, 2007-2010)), this approach has been extended to support the development of competencies for and in open innovation projects of the digital economy.

Collide has been engaged in several European research projects in the area of Technology-Enhanced Learning, among these core activities of the European Network of Excellence Kaleidoscope (2004-07) with a focus on interaction analysis, especially social network analysis approaches for CSCL, learning process modelling and mobile learning. Other research interests and expertise fields of the COLLIDE group pursued in previous European Research projects are: open distributed learning environments and ”collaborative mind tools” (European projects DEMOS, 1996-97; NIMIS, 1998-2000; DiViLab, 2000-02; SEED 2001-04; COLDEX 2002-05; CONNECT, 2004-2006; SCY 2008-2012) and analysis, modelling, and intelligent support of collaborative learning processes (initiative on “Net-based Knowledge Communication in Groups” of the German Science Foundation DFG, 1999-2004; ARGUNAUT 2005-08).


Prof. Dr. H. Ulrich Hoppe

Prof. Dr. H. Ulrich Hoppe
The Collide group is directed by Prof. Dr. H. Ulrich Hoppe who holds a full professorship in “Applied Computer Science/Collaborative and Learning Support Systems”. Ulrich Hoppe has been working for about ten years in the area of intelligent user interfaces and cognitive models in HCI (Fraunhofer Society Stuttgart, 1984-87, GMD Darmstadt 1987-95), before he re-focused his research on intelligent support in educational systems and distributed collaborative environments. He joined the University of Duisburg as a full professor in 1995. He has been programme co-chair for the international AI in Education and CSCL conferences in 2003. He coordinated the EU project COLDEX project and contributed to the NoE Kaleidoscope as a member of the executive board.

Sam Zeini

Sam Zeini
Sam Zeini holds a diploma (M.Sc. equivalent) in sociology. His current research interests are focused on innovations in open source projects from a network analytical perspective. His virtual observation approach uses communication and interaction data as a source for computer supported social network analysis. Formerly he has been working on VIP-Net and in the NoE Kaleidoscope.

Tilman Göhnert

Tilman Göhnert
Tilman Göhnert  received his diploma in mathematics from UDE with a thesis on undo mechanisms in distributed collaborative environments. His current research interest focuses on the analysis of user interaction including social network analysis and learning analytics. His work also includes the development of tools for these analyses.

Alfredo Ramos

Alfredo Ramos
Alfredo Ramos received his master degree in computer science from Universidad De Las Americas Puebla with a thesis on visualization of collaboration networks using starfields, ontologies and fisheye views. His current research interest focuses on the impact of visual stability for tracking the evolution of entities on dynamic networks.