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Abstract
We live in an uncertain world. From COVID-19 to political elections, every day, we are confronted with uncertainty. However, even experts have difficulty reasoning with uncertainty. While visualizations allow our visual systems to identify patterns in data that would otherwise go unnoticed, some uncertainty visualization can also introduce new biases. In this talk, Dr Lace Padilla will discuss state-of-the-art uncertainty visualizations, along with the cognitive processes that lead to misunderstandings of forecast data.
Biography
Dr Lace Padilla is an Assistant Professor in the Cognitive and Information Sciences department at the University of California Merced. She received a PhD in Cognitive and Neural Sciences and an MFA in Design from the University of Utah. Dr Padilla and collaborators were recently awarded an NSF RAPID award to study uncertainty in COVID-19 data visualizations. In 2018, she was awarded a Visionary Grant for research on Improving Trust in Uncertain Science funded by NASA. In her spare time, she is a strong advocate for minoritized groups in STEM. The National Science Foundation appointed her as a 2017/2018 STEM ambassador, and she received an NSF postdoctoral award for broadening participation in STEM at Northwestern.
How to join
The seminar can be joined through Microsoft Teams - either through the Teams app or your web browser.
Presentation slides
The presentation slides have been made available.