October 13, 2024; Christina Warren

Congratulations to Daniel Keim, professor of Data Analysis and Visualization in the Computer Science department at the University of Konstanz and project leader of SFB-TRR 161 project A03. Together with his co-authors Dominik Sacha, Andreas Stoffel, Florian Stoffel, Bum Chul Kwon, and Geoffrey P. Ellis, he will receive an IEEE VIS Test of Time Award (10 Year) for their paper “ Knowledge Generation Model for Visual Analytics” (IEEE VAST 2014).

The Test of Time Award recognizes publications that have been published at previous conferences, but whose content is still highly relevant and which have had a major impact and influence within and beyond the visualization community. It will be presented at the IEEE VIS 2024 Conference, which was originally scheduled to be held in St. Pete Beach, Florida, USA from October 13 to October 18, but was converted to a fully virtual conference due to the consequences of hurricane Helene and hurricane Milton for Florida.

Further Contributions to IEEE VIS 2024 by SFB-TRR 161 Members

With an acceptance rate of generally less than 25%, IEEE VIS is highly selective. We are therefore particularly delighted that the SFB-TRR 161 is represented at IEEE VIS and the associated workshops and events with numerous other contributions.

VIS Full Papers
Contributions to workshops and associated events
  • Bridging Quantitative and Qualitative Methods for Visualization Research: A Data/Semantics Perspective in the Light of Advanced AI (Paper, BELIV 2024 Workshop)
    Author: Daniel Weiskopf (A01, B01, INF, Z, MGK, Ö)
  • Progressive Glimmer: Expanding Dimensionality in Multidimensional Scaling (Paper, PDAV Workshop)
    Authors: Marina Evers (A01), David Hägele (A01), Sören Döring, Daniel Weiskopf (A01, B01, INF, Z, MGK, Ö)
  • UADAPy: An Uncertainty-Aware Visualization and Analysis Toolbox (Poster, IEEE Workshop on Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks)
    Authors: Patrick Paetzold (A01), David Hägele (A01), Marina Evers (A01), Daniel Weiskopf (A01, B01, INF, Z, MGK, Ö), and Oliver Deussen (A01)
  • Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions (Paper, 13th IEEE Symposium on Large Data Analysis and Visualization (LDAV))
    Authors: Luca Marcel Reichmann, David Hägele (A01), Daniel Weiskopf (A01, B01, INF, Z, MGK, Ö)
  • The Categorical Data Map: A Multidimensional Scaling-Based Approach (Paper, VDS: Visualization in Data Science Symposium)
    Authors: Frederik L. Dennig (A03), Lucas Joos (A03), Patrick Paetzold (A01), Daniela Blumberg, Oliver Deussen (A01), Daniel Keim (A03), Maximilian T. Fischer

At the IEEE Workshop on Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks, our speaker Daniel Weiskopf (A01, B01, INF, Z, MGK, Ö) will give the keynote “Uncertainty Visualization: The Importance of Quantification”. The workshop Progressive Data Analysis and Visualization (PDAV), which is taking place for the first time this year, is co-chaired by project leader Michael Sedlmair (A08) and supported by the SFB-TRR 161.

We wish our members a successful time at IEEE VIS 2024!

Looking for an Expert?

The Project Leaders of the SFB-TRR 161 are experts in the field of visual computing. You are welcome to get in touch directly.

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