Visualizing Our Lives Through Data with Jaime Snyder

The Radical AI Podcast

How do we see ourselves in data? What is self-tracking and how can we design for visualizing the data of our bodies and mental health? How do we make visualized data more accessible?

In this episode, we interview Jaime Snyder about the data visualization of COVID, mental health, and more.

Jaime Snyder is an Associate Professor in the Information School at the University of Washington in Seattle. She leads the Visualization Studies Research Studio and is also an Adjunct Associate Professor in the UW Department of Human-Centered Design and Engineering. Snyder’s research draws on her background as an artist and information science scholar to explore the creation and use of visual representations of information, data, and knowledge in collaborative and coordinated contexts.

Full show notes for this episode can be found at Radicalai.org.