The past decade has seen the development of models of distant reading as a way to leverage the emergence of large scale data sets. In this talk, Mark Olsen will outline some different ways that texts can be read at a distance, which can rely on non-textual data, and will describe some of his current work to facilitate a return to close, or at least closer, reading of texts in a big data environment.

Mark Olsen (University of Chicago) on big data and textual reuse, 3:30pm in Communications 202. Simpson Center for the Humanities Digital Humanities Annual Lecture; part of the Material Texts Colloquium Series organized through the Textual and Digital Studies Program; Series; co-sponsored by UW Libraries, and French and Italian Studies

For more information about the Material Texts Colloquium series see: depts.washington.edu…