Computer Science

Computer Science Colloquium

Prof. Dr. Jörn Kohlhammer
Fraunhofer IGD & TU Darmstadt

Applying Visual Analytics to Real-World Problems

Tue 08.11.2016, 16:00, 60 minutes
Science Park 2, Room 120


Visual analytics is not an emerging topic anymore. Domain experts are increasingly convinced of the potential of visual analytics in the big data era as we move from basic to applied research in this area. We are working with users in several application fields, including medical doctors, climate researchers, business analysts and security analysts. In any of these domains, visual analytics solutions not only have to create user-, data- and task-centered visualizations: they use automated techniques and have to explain results to domain experts to allow a reasonable analytical discourse between human and visual analytics system. In this talk, I will discuss the intersection of visual analytics and user-centered design using several examples from applied research projects with domain experts. My talk will also cover current research topics in applied visual analytics taking a look forward to the role of visual analytics in these domains.


Jörn Kohlhammer is head of the Competence Center for Information Visualization and Visual Analytics, and Professor for User-Centered Visual Analytics at TU Darmstadt. He has a PhD from TU Darmstadt and an MSc from the Ludwig-Maximilian University in Munich. His competence center develops solutions for several application domains, including visual business analytics, medical data analysis of electronic health records, decision support in the public sector, and cyber-security. Jörn is regular member of program committees for conferences like IEEE VAST and EuroVis, and acts as reviewers in many conferences and journals. His personal research interests include decision-centered information visualization based on semantics, and visual business analytics.
Invited by Assoz.Univ.-Prof. Dr. Marc Streit, Institute of Computer Graphics

The Computer Science Colloquium is organized by the Department of Coputer Science at JKU, the Österreichische Gesellschaft für Informatik (ÖGI) and the Österreichische Computergesellschaft (OCG).
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