Feb 25, 2020
Driving Scientific Discovery with Interactive Visual Data Analysis
Date: February 25, 2020 |
10:30 am –
Speaker: Alexander Lex, University of Utah
Location: Mondi Seminar Room 2, Central Building
I will first introduce a technique we developed to analyze large clinical genealogies with the purpose of identifying suicide cases that have a likely genetic component as an example of a visualization project tailored to solve an important domain-specific problem.
I will then sketch approaches to Literate Visualization, an analogy to Knuths Literate Programming, which is widely used in the form of computational notebooks in data science today. I will show how we can leverage provenance data of an analysis session to create well-documented and annotated visualization stories that enable reproducibility and sharing. I will also introduce early work on semi-automatically inferring mid-level analysis goals, which allows us to understand the analysis process at a higher level.
I will conclude by reflecting on ways of knowing in visualization: how can we tell if one visualization is better than another one? I will showcase a new method we developed that fills a gap in the current canon of evaluation methods.