Machine Learning for Social Science: An Agnostic Approach
Link to Journal Article Here
Who It’s For: Researchers interested in applying machine learning methods to social science.
Why We Love It: This review includes a diagram depicting a common approach to machine learning in the social sciences; it depicts a standard research workflow alongside the machine learning approaches that support it. Method definitions are also highlighted throughout the article.
Citation: Grimmer, J., Roberts, M. E., & Stewart, B. M. (2021). Machine Learning for Social Science: An Agnostic Approach. Annual Review of Political Science, 24(1), 395–419. https://doi.org/10.1146/annurev-polisci-053119-015921.
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