How to Change a City with Data Science

Check out this great talk from our friends at Two Sigma!

Ben Wellington is a Quantitative Analyst at Two Sigma and the creator of I Quant NY, a data science and policy blog that focuses on insights drawn from New York City’s public data, and advocates for the expansion and improvement of that data. His data science has influenced local government policy including changes in NYC street infrastructure, the way New Yorkers pay for cabs and the design of NYC subway vending machines. Ben is a contributor to the New Yorker, and a visiting assistant professor in the City & Regional Planning program at the Pratt Institute in Brooklyn where he teaches statistics using urban open data and holds a Ph.D. in Computer Science from New York University.