Modeling Perspective and Parallax to Tell the Story of Genre Fiction
Thursday, November 8th, 2018
5:30 pm – 7:00 pm
Townsend Center, 220 Stephens Hall (Geballe Room), UC Berkeley
In this talk Ted Underwood will use science fiction, fantasy, mystery, and the Gothic to explore the advantages of an approach that asks data science to contribute to the humanities by adding perspectival flexibility, rather than sheer scale. Underwood trained predictive models of these genres using ground truth drawn from various sources and periods (19c reviewers, early 20c bibliographies, contemporary librarians), in order to explore how implicit assumptions about genre consolidate or change across time.
Ted Underwood teaches in the School of Information Sciences and the English Department at the University of Illinois, Urbana-Champaign. He was trained as a Romanticist and now applies machine learning to large digital collections. His most recent book, Distant Horizons: Digital Evidence and Literary Change (University of Chicago, Spring 2019) addresses new perspectives opened up by large digital libraries. Underwood’s contributions to Representations include Theorizing Research Practices We Forgot to Theorize Twenty Years Ago and Stories of Parallel Lives and the Status Anxieties of Contemporary Historicism.