How to Change a City with Data Science

Across the world, the Open Data movement is growing and more and more cities are releasing data to the public. As citizens push for more openness, it is fair to ask: what can we do with all of this data to make our cities better? In this talk, I’ll explore how I’ve used my blog, I Quant NY, and some data science techniques to make changes in the city I live in: New York City.

From parking ticket geography, to restaurant inspection scores to subway and taxi pricing, I will discuss best practices for data science in the policy space, explore how story telling is an important aspect of data science, and highlight the various data-driven interactions I've had with City agencies that have led to infrastructure and policy changes.

Along the way, I will point out that data science need not use complicated math. I will show examples of the power of simple arithmetic, and show how often it is more about your curiosity and the questions you ask than the complexity of the equations you use