Visualizing Our Lives Through Data with Jaime Snyder

The Radical AI Podcast

Radical AI द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Radical AI या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।

2+ y ago 59:14

MP3•एपिसोड होम

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.

91 एपिसोडस

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