Computational Social Science and Election Administration

I recently edited a volume for Cambridge University Press, Computational Social Science: Discovery and Prediction. A summary of the book, and some ideas about new directions for this evolving field, is in a blog post that was just published on the CUP’s blog (fifteeneightyfour), “Computational Social Sciences: Advances and Innovation in Research Methods.”


There’s a lot in this book that will be of interest to readers of this blog. Contributions include essays by Ines Levin, Julia Pomares and I on using machine learning techniques to detect election fraud; papers on how to use big data tools to improve government policymaking (Price and Gelman, and Griepentrog et al.); and chapters on a variety of new tools for analyzing text data, networks, and high-dimensional data.