Beyond prediction: Using big data for policy problems

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Science  03 Feb 2017:
Vol. 355, Issue 6324, pp. 483-485
DOI: 10.1126/science.aal4321

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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.

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