Colloquy Cycle on Friday, November 9, 2018 - 10:30
Visual Data Science and its role in hypothesis generation and computational steering
Visualization is embracing the new paradigm of data science, where hypotheses are formulated on the basis of existing data, for example from medical cohort studies or ensemble simulation. New methods for the interactive visual exploration of rich datasets are supporting data scientists as well as solutions that are based on the integration of automated analysis techniques with interactive visual methods. In this talk, we discuss interactive visual hypothesis generation and recent related work. We also look at interactive visual steering, where interactive visual solutions are used to enter an iterative process of modeling. Furthermore, an attempt of looking into the new future of potentially upcoming visualization research is also included with the hope of spawning an interesting related discussion.
Helwig Hauser graduated in 1995 from the Vienna University of Technology (TU Wien) in Austria and finished his PhD project on the visualization of dynamical systems (flow visualization) in 1998. In 2003, he did his Habilitation at TU Wien, entitled ''Generalizing Focus+Context Visualization''. After first working for TU Wien as assistant and later as assistant professor (1994–), he changed to the then new VRVis Research Center in 2000 (having been one of the founding team), where he led the basic research group on interactive visualization (until 2003), before he then became the scientific director of VRVis. Since 2007, he is professor in visualization at the University of Bergen in Norway, where he built up a new research group on visualization, see ii.UiB.no/vis