Accessible Dataviz — Andrea Gomez Vargas, Keke Wu — R-Ladies East Lansing (English)
Channel: R-Ladies Global
Date: 2022-02-20

=== Resources ===
Workshop Material on GitHub: https://github.com/rladies-eastlansing/2022-accessible_dataviz
Host chapters: R-Ladies East Lansing
Meetup: https://www.meetup.com/rladies-east-lansing
Websites: https://rladies-eastlansing.github.io
Twitter: https://twitter.com/RLadiesELansing
Email: eastlansing@rladies.org

=== About the Event ===
Data visualizations and presentations are often unintentionally designed in a way that makes them inaccessible to a few participants. Come learn how to make your data visualizations and presentations accessible to everyone!

=== About the Speaker ===
Our first speaker, Keke Wu (PhD student at Univ of Colorado, Boulder) will talk about her research, Understanding Data Accessibility for People with Intellectual and Developmental Disabilities (IDD), giving us concrete ideas about how to make better figures and reach the IDD community.

Keke is a filmmaker, a storyteller, a designer, a developer, and a researcher. She has degrees in Digital Media Technology and Japanese Language and Literature, a Master of Fine Arts in Film and Television Production, and is currently working on her PhD in Creative Technology & Design at the University of Colorado Boulder. Her research focuses on visualization and accessibility through the lens of multimedia design and storytelling.

Website: https://www.kekewu.me/
Twitter: https://twitter.com/kekewu728

Our second speaker, Andrea Gomez Vargas (one of the winners of the 'most accessible presentation' award at useR! 2021), will talk about how to make an accessible presentation in R, using packages such as RMarkdown.

Andrea studied sociology at the University of Buenos Aires and is currently a sociologist, teacher, and researcher with a focus on gender studies and human rights. She is also a co-organizer of R Ladies Buenos Aires and a part of LatinR.

Website: https://soyandrea.netlify.app/
Twitter: https://twitter.com/me_andre