Arthur Spirling





Arthur Spirling

I am Professor of Politics and Data Science at New York University.

From 2016--2022, I was the Deputy Director and the Director of Graduate Studies (MSDS) at the Center for Data Science, and Chair of the Executive Committee of the Moore-Sloan Data Science Environment. On this site, you can find a copy of my vita (pdf), data, code and some of my working papers.

I specialize in political methodology and legislative behavior, with an interest in the application of text-as-data/NLP, Bayesian statistics, machine learning, item response theory and generalized linear models in political science. My substantive field is comparative politics, and I focus primarily on the United Kingdom. I'm especially interested in British Political Development for the period after the Great Reform Act.

I received my PhD from the University of Rochester, Department of Political Science, in 2008. From 2008 to 2015, I was an Assistant Professor and then the John L. Loeb Associate Professor of the Social Sciences in the Department of Government at Harvard University.

I am the faculty coordinator for the NYU Text-as-Data speaker series. Separate to my "academic" output, I wrote an essay on rejection, some advice on being a grad student and a talk on job talks that some people found helpful.

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