Cutting through Complexity: How Data Science Can Help Policymakers Understand the World

TL;DR

This paper explores how data science techniques can assist policymakers in understanding complex economic and environmental systems, highlighting practical examples and potential benefits.

Contribution

It demonstrates the application of data science methods to simplify complex policymaking challenges and suggests directions for further integration of these techniques.

Findings

Data science helps improve measurement accuracy.

It enhances resource allocation strategies.

Supports better monitoring and prediction of natural phenomena.

Abstract

Economies are fundamentally complex and becoming more so, but the new discipline of data science-which combines programming, statistics, and domain knowledge-can help cut through that complexity, potentially with productivity benefits to boot. This chapter looks at examples of where innovations from data science are cutting through the complexities faced by policymakers in measurement, allocating resources, monitoring the natural world, making predictions, and more. These examples show the promise and potential of data science to aid policymakers, and point to where actions may be taken that would support further progress in this space.