I’m grateful to so many colleagues and friends, near and far, for their support for this project in its very early stages.
I’ve spent the semester working through to fantastic textbooks: Text Analysis with R for Students of Literature, by Matt Jockers, and Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text by Taylor Arnold and Lauren Tilton. I’m so grateful to the authors of these fine resources, and recommend these textbooks enthusiastically.
Thank you to the knowledgable staff at the Princeton University Mudd Manuscript Library, who graciously answered my (endless) questions.
For conversation, insight, and all manner of generous assistance, my thanks to Mark Algee-Hewitt, Alexandra Edwards, Andrew Goldstone, Brandon Locke, Hoyt Long, Kristen Mapes, Lincoln Mullen, Justus Nieland, Thomas Padilla, Natalie Phillips, Richard Jean So, Matt Wilkens, and the 2015-16 cohort of CHI Fellows.
Very special thanks to Ted Underwood, Ethan Wattrall, and Devin Higgins, without whom this project would have been impossible.
This project was supported by the Cultural Heritage Informatics Fellowship at Michigan State University, and generously funded by the Department of English.