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

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Authors: Arthur Turrell
Cited by: 0

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.

Fields of Study & Subjects

Big Data Technologies and Applications Social Science and Policy Research Computational and Text Analysis Methods

Publication details

Journal / source
SFI Press eBooks
Pages
342–370
Publication date
11 February 2026
Language
EN
Document type
Book chapter