Beyond prediction: Using big data for policy problems.” Science, 355, Pp. 483-485.Abstract. 2/3/2017. “
Machine-learning prediction methods have been extremely productive in applications ranging from medicine to allocating fire and health inspectors in cities. However, there are a number of gaps between making a prediction and making a decision, and underlying assumptions need to be understood in order to optimize data-driven decision-making.