Welcome to the Social Computing Group
At the intersection of computer science and social science, we conduct applied research into intelligent data-intensive systems and their application in social media, technology-enhanced learning, and knowledge management domains. Headed by Prof. Dr. Mohamed Amine Chatti, we design, implement, and evaluate new analytics-driven theories, methods and systems for tomorrow’s smart learning and working environments. We offer lectures, seminars, and practical courses in learning technologies, web technologies, data science and visual analytics, following a technology-enhanced, student-centered learning approach.
We're part of the Department of Computer Science and Applied Cognitive Science, Faculty of Engineering at the University of Duisburg-Essen, one of the top universities worldwide younger than 50 years.
News & Events
June 2021SIMT/RIMA Demo at UMAP 2021
In the UMAP poster/demo session on Thursday, June 24, 2021, 15:30-16:15 CEST, we will present the Semantic Interest Modeling Toolkit (SIMT) and show how it has been leveraged in the transparent Recommendation and Interest Modeling Application (RIMA) to infer interest models of researchers based on their publications extracted from Semantic Scholar and use the inferred interest models to provide personalized recommendations of tweets. Here are links to the paper and the video presentation of the demo.
May 2021Shoeb Joarder joins our team
We are happy to welcome a new research associate and Ph.D. student to our group. Shoeb Joarder holds a master’s degree in Computer Engineering from the University of Duisburg-Essen. Shoeb is especially interested in the application of HCI, big data analytics, and visual analytics in education and social media. He will strengthen our group's research on scalable human-centered learning analytics.
April 2021New Publication in ExUM@UMAP 2021
Our paper "On-demand Personalized Explanation for Transparent Recommendation" got accepted as a full research paper at the workshop on Explainable User Models and Personalized System (ExUM 2021) in conjunction with the conference on User Modeling, Adaptation and Personalization (ACM UMAP 2021). The paper can be found here.
March 2021New Lab Course IDEA
Starting summer semester 2021, we are offering a new lab course on Interactive Data Exploration and Analytics (IDEA) for Bachelor students in Applied Computer Science and Komedia. The aim of this semester's IDEA lab is to provide the foundation for an Exploratory Learning Analytics Toolkit for Students (ELAS) to support UDE students in their learning activities.
February 2021New Publication in TExSS@IUI 2021
September 2020New Publication at ECTEL 2020
Mouadh Guesmi presented our paper "How to Design Effective Learning Analytics Indicators? A Human-Centered Design Approach" at the European Conference on Technology Enhanced Learning (ECTEL 2020). We propose in this work Human-Centered Indicator Design (HCID) as a transparent learning analytics approach that targets learners and teachers as end-users by involving them in the systematic design of learning analytics indicators that fit their needs, based on well-established design practices from the HCI and information visualization fields. A preprint version of the paper is available here.
Where to find us
We are located in the 4th floor of building LE - Campus Duisburg
Fakultät für Ingenieurwissenschaften
Fachgebiet Social Computing