The Data Science of Politics

Abstract

This article engages with the methods content in Dowding’s book, examining the underlying assumptions regarding political science methodology and data and arguing that these issues deserve a more central role. In particular, the new possibilities for generation and analysis of large-scale data sources from political activity is driving methodological change, requiring a variety of multi-disciplinary expertise, and presenting new ethical challenges. Expansion of the toolkit of political science methodologies to incorporate the growing field of computational social science, or social data science, draws new scientists into the analysis of politics – such as mathematicians, computer scientists and physicists – who bring their own philosophy and practice of theory building, explanation and approach, which may shape the discipline in the future.