AS A COMPUTER science PhD student, I am a disciple of big data. I see no ground too sacred for statistics: I have used it to study everything from sex to Shakespeare, and earned angry retorts for these attempts to render the ineffable mathematical. At Stanford I was given, as a teenager, weapons both elegant and lethal—algorithms that could pick out the terrorists most worth targeting in a network, detect someone’s dissatisfaction with the government from their online writing.
This discussion piece is quite different from our usual inclusions in the Resource Library but we found it thoroughly engrossing and we hope you will as well.
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The fact that so many computer scientists are ignorant or disdainful of non-technical approaches is worrisome because in my work, I’m constantly confronting questions that can’t be answered with code. When I coded at Coursera, an online education company, I developed an algorithm that would recommend classes to people in part based on their gender. But the company decided not to use it when we discovered it would push women away from computer science classes.
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