Allen Riddell

Allen Riddell

Assistant Professor, School of Informatics and Computing


  • Ph.D. in Program in Literature at Duke University, 2013
  • M.S. in Statistics at Duke University, 2013
  • BA, Comparative Literature with Honors Stanford University, 2004

Research interests

Allen Riddell is an Assistant Professor in the School of Informatics, Computing, and Engineering. His research explores applications of modern statistical methods in the humanities and allied social sciences. His research interests include sociology of literature, publishing history, comparative media studies, library digitization, and text mining. Prior to coming to Indiana University, Riddell was a Neukom Fellow at the Neukom Institute for Computational Sciences and the Leslie Center for the Humanities at Dartmouth College.

Professional Experience

  • Assistant Professor of Information Science, School of Informatics, Computing, and Engineering, Indiana University, 2016 -
  • William H. Neukom Class of 1964 Fellow, Neukom Institute for Computational Science, Dartmouth College, 2013-2016
  • Postdoctoral Fellow, Leslie Center for the Humanities, Dartmouth College, 2013-2016
  • Visiting Fellow, eHumanities Group, Royal Netherlands Academy of Arts and Sciences, 2015


  • Katherine Goodman Stern Fellowship, Duke University (full tuition), 2012-2013
  • Summer Research Fellowship, Duke University, 2011
  • Alliance of Digital Humanities Organizations (ADHO) Bursary Award, 2011
  • Foreign Language and Area Studies Summer Fellowship (Chinese), 2008
  • James B. Duke Fellowship, Duke University, 2007-2011
  • University Scholars Fellowship, Duke University (full tuition), 2007-2008
  • Information Science + Information Studies Project Grant, Duke University, 2007

Representative publications

Stan: A probabilistic programming language (2017)
Bob Carpenter, Andrew Gelman, Matthew D Hoffman, Daniel Lee, Ben Goodrich, Michael Betancourt ...
Journal of statistical software, 76 (1),

How to read 22,198 journal articles: Studying the history of German studies with topic models (2014)
Allen Beye Riddell
Distant Readings: Topologies of German culture in the long nineteenth century, 91-114

The Supreme Court and the judicial genre (2017)
Michael A Livermore, Allen B Riddell and Daniel N Rockmore
Ariz. L. Rev., 59 837

Zero-shot style transfer in text using recurrent neural networks (2017)
Keith Carlson, Allen Riddell and Daniel Rockmore
arXiv preprint arXiv:1711.04731,

Bending the law: geometric tools for quantifying influence in the multinetwork of legal opinions (2018)
Greg Leibon, Michael Livermore, Reed Harder, Allen Riddell and Dan Rockmore
Artificial Intelligence and Law, 26 (2), 145-167

Agenda formation and the US supreme court: A topic model approach (2016)
Michael A Livermore, A Riddell and Daniel Rockmore
Arizona Law Review, 1 (2),

A simple topic model (mixture of unigrams) (2012)
Allen B Riddell
July. 22

Public domain rank: identifying notable individuals with the wisdom of the crowd (2015)
Allen B Riddell
ACM. 10

Bending the Law (2016)
Greg Leibon, Michael A Livermore, Reed Harder, Allen Riddell and Daniel Rockmore
Available at SSRN 2740136,

Demography of Literary Form: Probabilistic Models for Literary History (2013)
A Riddell
Duke University Ph. D. thesis.

Evaluating prose style transfer with the Bible (2018)
Keith Carlson, Allen Riddell and Daniel Rockmore
Royal Society open science, 5 (10), 171920

Reassembling the English novel, 1789-1919 (2018)
Allen Riddell and Michael Betancourt
arXiv preprint arXiv:1808.00382,

Readers and their roles: Evidence from readers of contemporary fiction in the Netherlands (2018)
Allen Riddell and Karina van Dalen-Oskam
PloS one, 13 (7), e0201157

Studying Literary History with Latent Feature Models (2013)
Allen Beye Riddell

How to read 16,700 journal articles: studying German Studies with topic models (2012)
Allen B Riddell