Effectively analyzing increasingly large and complex data from simulations and experiments is a crucial step in the scientific process. Visualization, which keeps the scientist in the analysis loop, can play a significant role in this process particularly when the goal is ‘understanding’ or ‘knowledge generation’. Practically this requires creating environments for scientific reasoning through interactive data exploration guided by automatic analysis. Successful solutions are typically devised in close collaboration with domain experts, where both partners often go beyond their original expectations. This synergy results in methods that are not only innovative but also relevant and effective in addressing real-world scientific problems. In this talk, I will discuss a few use cases from our recent research.

Biography: Ingrid Hotz received her M.S. degree in theoretical Physics from the Ludwig Maximilian University in Munich Germany and the PhD degree from the Computer Science Department at the University of Kaiserslautern, Germany.

During 2003–2006 she worked as a postdoctoral researcher at the Institute for Data Analysis and Visualization (IDAV) at the University of California. From 2006–2013 she was the leader of a research group at the Zuse Institute in Berlin Germany. From 2013–2015 she was the head of the scientific visualization group at the German Aerospace Center (DLR).

Since 2015 she is a Professor in Scientific Visualization at the Linköping University in Scientific Visualization and has an affiliation with the Center for Medical Image Science and Visualization (CMIV) in Linköping.