I am a data scientist originally trained as a quantitative political scientist. I specialize in the technical and organizational aspects of applying data science to political and social issues.

Years ago I noticed a gap in the existing literature. On one side was data science, with roots in mathematics and computer science. On the other side were the social sciences, with hard-earned expertise modeling and predicting complex human behavior. However, despite each field having much to lend to the other, collaborations between the two have been rare. The motivation of this site and ongoing book project is to bridge that gap: to create a practical guide to applying data science to political and social phenomena. Currently this project contains 355 articles and tutorials and is available on GitHub.




Data Wrangling

R Stats


Command Line

Project Jupyter


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Frequentist Statistics

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Bayesian Statistics

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Machine Learning

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  • GitHub

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