A predictive data analytics team in the Mayor's Office of New York City has been quietly using data science to find patterns in regulatory data that can then be applied to law enforcement, public safety, public health and better allocation of resources. In a good interview Michael Flowers explains why applying data science to regulatory data is necessary to use city resources better. This is the other aspect of smart cities - better analytics and models informing policy and practise. Worth readig. Click on the image or headline to learn more