The syllabus for the introductory course in the core sequence for PhD students in Texts & Technology at the University of Central Florida, with an emphasis on introducing interdisciplinary humanist scholarship along with academic writing practices and web platform fundamentals. This iteration was redesigned to be taught via Zoom, using a mix of…[Read more]

Some literary scholars have claimed that predictive models can measure the strength of the boundaries that separate different cultural categories—genres, for instance, or market segments. But interpreting textual models as evidence about the strength of a cultural distinction has seemed a questionable move to many readers. We use book reviews to t…[Read more]

At the 2019 Digital Humanities Conference in Utrecht, the authors launched a survey designed to answer the question “Who Teaches When We Teach DH?”. In this short talk, we will present and discuss some of the findings.

In this introduction to the digital humanities (DH), we will approach the field via a Caribbean Studies lens, exploring how an understanding of the digital based in the growing area of digital Caribbean studies might shape the larger field of DH.

The course aims to provide a landscape view of DH, paying attention to how its various approaches…[Read more]

The Oulipo has claimed that foreign member, Italo Calvino, was a key proponent of the clinamen, a purposeful deviation from the strict constraints in which the group specializes. However, upon closer inspection, Calvino’s Oulipian production during his Paris period does not seem to advance a formalized definition of this tool of constrained w…[Read more]

This essay will examine the multiple performance texts that exist in Ivo Van Hove’s transcultural and transmedial performance event, The Roman Tragedies (which toured worldwide from 2007 to 2013) to suggest that, in today’s “spreadable” culture (to borrow from Henry Jenkins), appropriative use becomes the bridge that can unify ‘work’ and ‘event.…[Read more]

This book is the first full-length monograph to bring a range of computational methods to bear in a sustained fashion, on a single novel, at the micro-level. While most contemporary digital studies are interested in distant-reading paradigms for large-scale literary history – using their digital methods as a telescope – following calls by Alan Liu…[Read more]

Final progress report about the California Open Educational Resources Council’s work with 3 representatives from each of the California State University, University of California, and California Community Colleges, to investigate the efficacy of implementing adoption of OER textbooks and to create a repository of OER textbooks for use in all 3 systems.

Based on its survey responses, the California Open Educational Resources Council identified several impediments to adopting OER textbooks and concluded that rigorous peer review was ultimately the first step towards advocating for adoption of OER textbooks. The Council quickly identified 50 highly-enrolled courses with expensive textbooks across…[Read more]

Syllabus for an upper-level English seminar at SUNY Cortland | Is Google racist? Is Wikipedia sexist? In this course, we will critically reflect on the digital tools and platforms that mediate so much of our daily lives. More specifically, we will explore how digital technologies can reproduce and challenge conditions of racial, class, and gender…[Read more]

The book publishing industry is an important social, cultural, and economic institution whose records deserve to be preserved for the public good. Books.Files was an exploratory project funded in part by The Andrew W. Mellon Foundation aimed at assessing the archival value of digital assets in the contemporary publishing industry for stakeholders…[Read more]

Numbers appear to have limited value for literary study, since our discipline is usually more concerned to explore differences of interpretation than to describe the objective features of literary works. But it may be time to re-examine the assumption that numbers are only useful for objective description. Machine learning algorithms are actually…[Read more]