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Crystal Lee is a Ph.D. candidate at MIT, where she studies the political and social implications of data visualization.

Her work shows how mapping data is an embodied practice that encodes arguments about gender, ability, and modernity in the user interface, and her research at the Berkman Klein Center focuses on how data visualizations about the pandemic circulate on social media. 



COVID Skeptics Don’t Just Need More Critical Thinking

Crystal Lee speaks about her research on COVID skeptics with Slate

Mar 11, 2021

Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online

Crystal Lee and colleagues publish a preprint of their paper ahead of ACM CHI 2021.

Jan 20, 2021