I am part of an initiative to develop and promote digital-humanities projects at Rutgers. We organize lectures, workshops, open houses and other events: see the list of events on the initiative website at dh.rutgers.edu. That site also hosts notes from past workshops. I am also glad to hear directly from anyone interested in learning about DH at Rutgers.
Literary Data graduate course
In Spring 2015 I offered a graduate course, Literary Data: Some Approaches (English 350:509). The course combined a discussion of theories of literary data from the mid-twentieth century to the present with an introduction to literary data analysis in R. The technical material, including slides and problem sets, continues to be available on the course website. I draw some lessons from the course in a forthcoming Debates in the Digital Humanities essay, “Teaching Quantitative Methods: What Makes It Hard (in Literary Studies)” (preprint).
Using topic models for disciplinary history
I have been using probabilistic topic modeling to analyze trends in the language of scholarly journals. This work has branched into several projects:
“The Quiet Transformations of Literary Studies”
My article co-authored with Ted Underwood in New Literary History, “The Quiet Transformations of Literary Studies: What Thirteen Thousand Scholars Could Tell Us” (also available in preprint), argues that topic-modeling a century’s worth of journal articles suggests surprising long-term continuities and transformations in the history of literary scholarship.
The topic model we discuss most extensively can also be explored interactively in a website we created: Quiet Transformations.
As Signs Digital Humanities Fellow for 2014, I collaborated with the journal on their digital fortieth anniversary issue, Signs@40: Feminist Scholarship through Four Decades. This website includes an interactive visualization of a topic model of the journal (which I developed in collaboration with Andrew Mazzaschi, Susana Galán, C. Laura Lovin, and Lindsey Whitmore, building on my dfr-browser project), together with a set of commentaries on the model by feminist scholars.
dfrtopics: Create and Explore Topic Models in R
I am developing an R package, dfrtopics, which helps with creating, exploring, and analyzing topic models within R. The package uses MALLET to build the models. It was initially specialized to JSTOR Data for Research data (hence the “dfr” in the name), but it can be used with other data sources, like feature counts from HathiTrust. For instructions on installing dfrtopics see the github project page; for an introduction to using the package, see the package vignette.
dfr-browser: Explore Topic Models in the Web Browser
Resources for digital documents
I am interested in, not to say fanatical about, digital document preparation and typography. I describe the programs and formats I use, and why, in my page on LaTeX, markdown, and digital documents. Also available here are my brief introduction to markdown and an explanation of PDF for students.
Blogging on digitally humanistic topics
For all my blog posts related to the digital humanities, see under DH in the blog archive.