Data Science & AI Lecture Series
A Matter of Audiences: Capturing and Reporting Reasoning and Results Around Data Visualizations
Kate Isaacs
A Matter of Audiences: Capturing and Reporting Reasoning and Results Around Data Visualizations
| When | Friday, March 20, 2026, 1:30 PM – 2:30 PM (MT) |
|---|---|
| Where | WEB L112 |
Abstract
Data visualizations are used throughout the data science process to facilitate the exploratory analysis and to report results. Frequently, these uses are neither separate nor solitary, acting as a medium for data science teams to collaboratively reason about data. This team-based data science work is often fast-paced and involves several forms of non-digital communication. I will discuss how we leverage gesture, sketch, and speech to create support for common meetings around data, specifically collaborative remote meetings and informal presentations, to aid this aspect of data science work. Then, focusing on the wider dissemination of results, I will discuss findings regarding the public’s views on the use of data and AI in science videos.
Speaker
Kate Isaacs
Kate Isaacs is an Associate Professor in the Kahlert School of Computing and the Scientific Computing an Imaging Institute at the University of Utah. She received her Ph.D. in computer science from the University of California, Davis and has undergraduate degrees in computer science, mathematics, and physics. She publishes in data visualization, high performance computing, and human-centered computing venues, with interests in complex analysis scenarios, such as those arising from research and data science teams. She has received an NSF CAREER award, a Department of Energy Early Career Research Program award, and a Presidential Early Career Award for Scientists and Engineers (PECASE).
Tags: visualization
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