In the mornings, Steven Koonin often dons a light blue shirt and khaki suit jacket, walks out of his apartment above Manhattan’s chic Washington Square park and heads for the subway. As he beelines down the sidewalk, the West Village buildings burp up black clouds of smoke as their boilers are fired on. At Sixth Avenue, an express bus screeches to the curb and blocks the pedestrian crosswalk. And as Koonin sits in the subway, he notices some of the signs are badly placed. “Can we fix this?” he wonders. He gets off at Brooklyn’s Jay Street-Metrotech station and rides an elevator to the 19th floor of a commanding building perched high above his native city. Then he gets to work.
Koonin is the director of New York University’s Center for Urban Science and Progress (CUSP), which is to say, he is the big data guru of New York City. He’s been given a lot of cash, millions of data points and a broad mandate by the city of New York: make it better. No big data project of this scale has been attempted before, and that’s because the tools never existed, until now. “There’s an enormous amount of data out there,” Koonin says with the vestiges of a Brooklyn accent. “If we can use the data to understand what’s going on in cities, we can improve them in a rational way.”Read More