Collaborative Research Center


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.


October 2022

October 28, 2022
Members of SFB-TRR 161 at ECCV 2022

Members of project B04 achieve several successes at international conference for computer vision.
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October 18, 2022
IEEE VIS 2022 Best Paper Award for "Uncertainty-Aware Multidimensional Scaling"

Paper presents an extension of multidimensional scaling (MDS) to uncertain data, facilitating uncertainty visualization of multidimensional data.
» more »

October 18, 2022
IEEE VIS Test of Time Award for Michael Sedlmair and Team

Paper “Design Study Methodology: Reflections from the Trenches and the Stacks” wins award at IEEE VIS 2022.
» more »

SFB-TRR 161 Events

Upcoming Events


Dec 1st, 2022, full day
University of Stuttgart

Internal TRR Meeting - Rehearsal

Further information will be provided via email to all participants.

Dec 8th - 9th, 2022, full days
University of Stuttgart

DFG - Assessment

Further information will be provided via email to all participants.

Jul 28th, 2022, 10 am - 4 pm    POSTPONED TO A NEW DATE IN WS 2022/23
K7, University of Konstanz

WS Leading Successfully Despite Bias

Held by:

Dr. Sebastian Tillmann, Coordinator for Diversity in Science, University of Konstanz
and Marie-Claire Kabengele, Research Associate, University of Konstanz

Abstract:Project leaders are in a powerful position to influence both working groups and organizations. They are also faced with several challenges: To deal with the influence of interpersonal power on decision making, the influence of informational and cognitive biases as well as the lack or the overabundance of information, just to name three. In this training participants will:
-    Gain an overview of how human rationality and decision making is influenced by certain biases and learn approaches to minimize this influence.
-    Learn about the influence of interpersonal power on decision making and perception as well as problems of collective decision making.
-    Discuss “typical” gender and diversity challenges and exchange experiences with outer participating leaders as well as design first steps to address these challenges.

Dr. Sebastian Tillman is diversity coordinator at the University of Konstanz with a background in social psychology and organizational behaviour with focuses on leadership, team cognitive processes and diversity.
Marie-Claire Kabengele is research associate and PhD candidate at the Department of Psychology at the University of Konstanz and focuses on risk behaviour, social-psychological interventions and research on female leadership.

Further Information & Resources


The SFB-TRR 161 produces videos to give insights into the projects and the ongoing research. Please visit our YouTube Channel.

Go to YouTube

Graduate School

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.

Graduate School

Visual Computing Blog

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.

Visual Computing BLOG

Partners of the SFB-TRR 161