U.S. Department of Energy

Pacific Northwest National Laboratory

Unfolding Statistical Inference Algorithms into Better Deep Networks

Friday, March 10, 2017
Robert Kosara
Senior Research Scientist
Data visualization is still a young field, certainly compared to established sciences like physics, mathematics, etc. It’s also a hugely complicated field that tries to combine the rigor of statistics and computer science with the complications of cognitive psychology and vision science – and that’s not even considering application fields. While we know some things about visualization, we don’t know others – and some of the things we thought we knew have also turned out to not be quite that clear-cut. Are bar charts always the best choice? Are embellishments bad? Are pie charts really evil? Is animation always distracting? In this talk, I will discuss some of the open questions and show some of the limits of what we know. I will also show how we’re making progress towards a smarter kind of visualization that is based on sound science and that doesn’t just show the data, but does more to help understand it.
Speaker Bio

Robert Kosara is senior research scientist at Tableau Software. His focus is on the communication of data through visualization and visual storytelling. Robert is also working on furthering our understanding of visual perception and cognition, so we can make data easier to understand and develop tools to communicate it more effectively.

Before joining Tableau in 2012, Robert was Associate Professor of Computer Science at the University of North Carolina at Charlotte. Robert received his M.Sc. and Ph.D. degrees in Computer Science from Vienna University of Technology (Austria). In his copious spare time, Robert likes to run long distances and write articles for his website, eagereyes.org.

| Pacific Northwest National Laboratory