Join DVS' next Fireside Chat to talk about how charts are shared in different settings and how context influences design, accessibility, and understanding. LIVE Monday, January 24 3-4PM EST --------------------- During this fireside chat, researchers and practitioners will discuss the ways that the context within which we’re sharing charts and other visualizations impacts both the design decisions and how the charts are understood. Featuring Matthew Brehmer, Frank Elavsky, and Keke Wu. Matthew Brehmer is a senior research staff member of Tableau Research in Seattle, where he specializes in creative expression with data for communication and presentation. Prior to joining Tableau, he was a postdoctoral researcher at Microsoft Research, which followed his PhD research on information visualization at the University of British Columbia. Learn more about his work at mattbrehmer.ca and connect with him online at @mattbrehmer or at linkedin.com/in/matthewbrehmer. Frank Elavsky is a software engineer turned researcher, embarking on a PhD at the intersection of accessibility and information-rich systems at Carnegie Mellon University. He is also the author of Chartability, a set of heuristics for evaluating the accessibility of data experiences. Before his PhD, Frank was a lead contributor to Visa Chart Components, a design system component library of charts and graphs built with a focus on accessibility. You can find him active on twitter @FrankElavsky or over on linkedin https://www.linkedin.com/in/elavsky/. Keke Wu is a 3rd year PhD student in Creative Technology & Design at the University of Colorado Boulder. Her research looks at visualization & cognitive accessibility. Previously, she received an MFA in film & tv production from Communication University of China, where she specialized in documentary filmmaking and broadcasting. Keke believes in the power of visual cognition and communication, she hopes to capture the diversity and vibrancy of the disabled community and help people of all ability levels reach their full potential with art and technology. --------------------- The Data Visualization Society was founded to serve as a professional home for those working across the discipline while leading others into this growing, dynamic field, and to increase the visibility and value of data visualization to the general public. Our mission is to connect data visualizers across tech stacks, subject areas, and experience: we invite you to be part of our community. Join our community: https://www.datavisualizationsociety.org/ Website: https://www.datavisualizationsociety.org/ Twitter: https://twitter.com/DataVizSociety LinkedIn: https://www.linkedin.com/company/data-visualization-society/ Slack: https://www.datavisualizationsociety.org/slack-community
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