Aarhus Universitets segl

Special talk by Hans-Jörg Schulz on Solutions for Tailored Visual Analysis

Oplysninger om arrangementet

Tidspunkt

Torsdag 16. november 2017,  kl. 10:00 - 11:00

Sted

5510 - 104 (lille aud, Incuba)

Visualization is a fundamental tool for analyzing data, in particular so for exploratory analyses as well as tightly integrated with computational methods into visual analytics approaches. Yet despite its ubiquitous use, data visualization remains hard to formalize or validate, as there is no inherently “right” or “wrong” way of displaying data – everything goes, as long as it does not misconstrue the underlying data and serves the needs of the analyst.

This representational flexibility is benefit and burden at the same time. On one hand, it allows devising highly optimized visualization techniques that are fine-tuned to the characteristics of the data at hand and that cater optimally to the intended use of the visualization. On the other hand, this flexibility requires additional knowledge, efforts, and skill. Just choosing one of the thousands of existing information visualization techniques is already a challenge in itself, let alone customizing, parametrizing, and ultimately utilizing it.

This talk will feature some select solutions that aid in navigating different options and visualization possibilities by allowing for tailoring data visualizations to an analysis scenario at hand. These solutions provide means for tailoring data, view, and interaction in order to answer questions that are difficult or even impossible to pursue with standard “one size fits all” visual analysis techniques.

Bio:

Hans-Jörg Schulz received his diploma in computer science and his PhD from the University of Rostock, Germany in 2004 and 2010, respectively. He has since worked in the areas of Visual Analytics and Information Visualization, with prolonged research stays at IBM Research in the US, TU Graz in Austria, and Fraunhofer IGD in Germany. He is currently working as a Senior Researcher at the Institute of Computer Science at the University of Rostock, while pursuing his research interests in exploring novel visualization concepts and developing unique visualization techniques mainly for climate research and the life sciences.