Eli Holder: Unfair Comparisons: How Visualizing Social Inequality Can Make It Worse
How do we visualize inequality without promoting it? How can we communicate social outcomes in ways that inspire positive change?
When data represents groups of people, it’s inescapably interpreted through the audience’s prior knowledge, assumptions, biases and stereotypes about the groups being visualized. This makes visualizing social data unique from other topics. It also means that common visualization techniques that are safe in other domains can be harmful when visualizing data about people from minoritized communities.
Eli's recent peer-reviewed study shows how certain popular data visualizations, meant to raise awareness of social disparities, may actually backfire and reinforce them, by encouraging harmful stereotypes about the people being visualized. This session builds on Eli's research to help practitioners apply his findings and produce more equitable social-data visualizations. After the session, attendees should be able to:
(1) Identify and articulate the hidden biases pervasive in charts and graphs covering social outcome disparities.
(2) Develop intuition for the surprising ways that social psychology can influence audiences’ perceptions of information.
(3) Learn alternative design approaches to effectively present equity-focused dataviz in ways that create awareness and inspire change, while mitigating harmful stereotypes about the people being visualized.
Eli's Research: https://3iap.com/unfair-comparisons
Jade Corley: Dashboarding in a Remote Role: Tableau + Miro
Unlock the full potential of data storytelling in your Tableau business dashboards. In this presentation we’ll share our dashboarding process, going from concept to creation, along with how to enhance collaboration in a remote role by using Miro. We’ll cover how to approach best practices like discovery, data modeling, wireframing, client feedback, and more.
Chira Abdullgafoor: Viz for Social Good Story
In the last Viz for Social Good project, Chira went from hearing about group for the first time, to making a data viz that was selected for the final three presentations with the non-profit organization. This is a brief telling of his story before the next Viz for Social Good project starts this October.