Radical AI is a podcast centering marginalized or otherwise radical voices in industry and the academy for dialogue, collaboration, and debate regarding the field of Artificial Intelligence Ethics and the relationship between the humanities and machine learning.
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Radical AI is a podcast centering marginalized or otherwise radical voices in industry and the academy for dialogue, collaboration, and debate regarding the field of Artificial Intelligence Ethics and the relationship between the humanities and machine learning.
Visualizing Our Lives Through Data with Jaime Snyder
The Radical AI Podcast
59 minutes 14 seconds
3 years ago
Visualizing Our Lives Through Data with Jaime Snyder
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.
The Radical AI Podcast
Radical AI is a podcast centering marginalized or otherwise radical voices in industry and the academy for dialogue, collaboration, and debate regarding the field of Artificial Intelligence Ethics and the relationship between the humanities and machine learning.
