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Jonathan Stray

Columbia Journalism School
Research Scholar
Jonathan Stray is a computational journalist at Columbia university, where he teaches the dual masters degree in computer science and journalism and leads the development of Workbench, an integrated tool for data journalism without coding. Research interests include AI for investigative journalism, and the use of algorithms to make social decisions. He’s contributed to The New York Times, The Atlantic, Wired, Foreign Policy and ProPublica. He was formerly the Interactive Technology Editor at the Associated Press, a freelance reporter in Hong Kong, and a graphics algorithm designer for Adobe Systems.