Please use this zoom link for the event.
Please join us for a UW Data Science Seminar event on Tuesday, November 30th from 4:30 to 5:30 p.m. The seminar will feature Michael Correll, Senior Data Scientist at Tableau Research.
“Cautiously Constructing Charts”
Abstract: Data visualization, at its best, is a powerful and democratizing tool that lets wide audiences of people see and understand their data. But just like any other powerful tool, it can be dangerous when misused. In this talk, drawing on methods and results from HCI, statistics, graphical perception, and ethical philosophy, I will present some of my research around how visualization can go wrong: bogus, biased, or just plain bad charts. I’ll discuss our unique duties as data designers, suggest safeguards for secure analysis, and propose promising paths forward.
Biography: Michael Correll is a senior research scientist at Tableau Research, where he works on understanding how to ethically, accurately, and responsibly communicate data. His areas of interest within the study of information visualization include graphical perception, uncertainty visualization, and data ethics. A particular focus of his recent work is “black hat visualization”: deceptive or dangerous practices that can result in unethical or misleading uses of data. Prior to Tableau, he was a post doc at the UW Interactive Data Lab, supervised by Jeff Heer. He received his PhD. from the University of Wisconsin-Madison, advised by Michael Gleicher, where his dissertation focused on using visual perception to improve statistical graphics.
The UW Data Science Seminar is an annual lecture series at the University of Washington that hosts scholars working across applied areas of data science, such as the sciences, engineering, humanities and arts along with methodological areas in data science, such as computer science, applied math and statistics. Our presenters come from all domain fields and include occasional external speakers from regional partners, governmental agencies and industry.
The 2021-2022 seminars will be hybrid virtual and in-person events, and are free and open to the public.