Collaborative Research Center
SFB-TRR 161
Quantitative Methods for Visual Computing
We are living in a data society in which data is generated at amazing speed; individuals, companies, organizations, and governments are on the brink of being drawn into a massive deluge of data. The great challenge is to extract the relevant information from vast amounts of data and communicate it effectively.
Typical scenarios include decision and policy making for urban and environmental planning or understanding relationships and dependencies in complex networks, e.g., social networks or networks from the field of bioinformatics. These scenarios are not only of interest to specialized experts; in fact, there is a trend toward including the broad public, which requires the information to be presented in a reliable, faithful, and easy-to-understand fashion.
Visual computing can play a key role in extracting and presenting the relevant information.
In visual computing research the aspect of quantification is often neglected. The SFB-TRR 161 seeks to close this gap.
The long-term goal is to strengthen the research field by establishing the paradigm of quantitative science in visual computing.
News
June 2025
ERC Advanced Grant for Albrecht Schmidt
Leader of SFB-TRR 161 Project C06 explores and develops AI systems that store and process human experiences.
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ETVIS Workshop at ETRA 2025
Successful workshop co-organized by SFB-TRR 161 members examines the intersection of eye tracking research with visualization.
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May
Konstanzia Fellowship for Anke Reinschlüssel
Fellowship program offers support on the last steps towards a professorship.
» more »
SFB-TRR 161 Events
Further Information & Resources
YouTube
The SFB-TRR 161 produces videos to give insights into the projects and the ongoing research. Please visit our YouTube Channel.
Graduate School
PhD students of the projects at the Universities of Stuttgart and Konstanz learn and do research together on their way to their doctoral degree in visual computing.
Visual Computing Blog
The scientists of the SFB-TRR 161 as well as guest authors blog about their activities in computer graphics, visualization, computer vision, augmented reality, human-computer interaction, and psychology.
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© SFB-TRR 161 | Quantitative Methods for Visual Computing | 2019.