Datamining the Enlightenment through Secondary Sources: JSTOR, Dirty Quantification, and the Future of the Lit Review

Datamining the Enlightenment through Secondary Sources: JSTOR, Dirty Quantification, and the Future of the Lit Review
Date
Thu February 13th 2014, 12:00 - 1:30pm
Location
Pigott Hall (Building 260), Room 216

Speaker(s): Dan Edelstein

The traditional lit review tends to focus on a selection of canonical authors and works, along with a sampling of lesser known (often more recent) references. But “the literature” shares with literature a common feature, namely a great unread. Thanks to interfaces such as JSTOR’s “Data for research,” we can now apply some of the methods that scholars have adapted for the distant reading of literary texts to secondary sources. In this presentation, Professor Edelstein take the scholarship on the Enlightenment as a case-study for data-mining the lit review.

 

Dan Edelstein, professor of French and, by courtesy, of History, works for the most part on eighteenth-century France, with research interests at the crossroads of literature, history, political theory, and digital humanities. His books include The Terror of Natural Right: Republicanism, the Cult of Nature, and the French Revolution (winner of the 2009 Oscar Kenshur Book Prize) and The Enlightenment: A Genealogy (2010). He is deeply involved with Mapping the Republic of Letters, a large-scale digital humanities project, one of whose primary aims is to map the correspondence networks of major intellectual figures.

Lunch provided; all are welcome

Sponsors: Seminar on Enlightenment and Revolution, 1660–1830, a Stanford Humanities Center Research Workshop in Honor of John Bender; The French Culture Workshop

Contact: erikj09 [at] stanford.edu (erikj09[at]stanford[dot]edu)