We are happy to announce on February 1, 2021 our publication Gone full circle: A radial approach to visualize event-based networks in digital humanities was published to the Visual Informatics journal.
Full paper available at https://www.sciencedirect.com/science/article/pii/S2468502X21000012
On November 27, 2020 Markus Bögl successfully defended his PhD thesis titled
"Visual Analysis of Periodic Time Series Data".
On Nov 13, 2020 Nikolaus Piccolotto successfully defended his PhD proposal titled "Visual Analytics for Blind Source Separation in Time and Space".
The examination committee included:
Silvia Miksch was inducted into The IEEE VGTC Visualization Academy (or in short Vis Academy). The Vis Academy was established in 2018 by the IEEE VGTC Executive Committee. Induction to the Vis Academy is the highest and most prestigious honor in the field of visualization.
On October 23, 2020 Davide Ceneda successfully defended his PhD thesis titled
"Guidance-Enriched Visual Analytics".
Our IMMV project "Music Mapping Vienna" was featured in the article "Österreich sollte wieder "ehrenhaft" klingen“ in the Newspaper „Die Presse“ from 22th August 2020.
About 50 contributors worked together on one project over about 2,5 years which resulted in a book with 4 different parts, 21 single chapters, and roughly 400 pages which is unbelievable.
Foundations of Data Visualization
Chen, M., Hauser, H., Rheingans, P., Scheuermann, G. (Eds.)
Springer, 2020
TU Wien Knowledge and Transfer Support (Kathleen Jimenez) organized a webinar to learn about the latest developments in this fast-growing research area: Medical Data Intelligence: Data Landscape and Analysis Tools.
A new coronavirus (COVID19) was first identified in Wuhan and, now, it has spread to many countries around the world. The CVAST group developed an interactive visualization tool to track the spread of the disease and predict its development in different countries. Check the tool by clicking in the link below:
On February 24, 2020 Christian Bors successfully defended his PhD thesis titled
"Facilitating Data Quality Assessment Utilizing Visual Analytics: Tackling Time, Metrics, Uncertainty, and Provenance".
