Contributor profile

Jonathan Stray

Research Scholar Columbia Journalism School


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. 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.

Content by Jonathan

Case studies Data analysis
Get curious about data: lessons on how it all works

Where does data come from? What can journalists do with it? And what happens once they're done with it? Jonathan Stray explores these questions and more.

Data analysis Ethics
Why understanding margins of error matters in journalism

Because these can easily lead to bad conclusions, technical misunderstandings raise important ethical challenges. Jonathan Stray highlights a straightforward problem that is often ignored: the margin of error in the available data.