#286 Andrew Piper: Data Science, Reading, And Literary Criticism

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Dr. Andrew Piper is Professor in the Department of Languages, Literatures, and Cultures at McGill University. He directs .txtLAB, a laboratory for cultural analytics at McGill, and is also an editor of the Journal of Cultural Analytics. His work focuses on applying the tools and techniques of data science to the study of literature and culture, with a particular emphasis on questions of cultural equality. He has on-going projects that address questions of cultural capital, academic publishing and power, and the visibility of knowledge. He’s the author of books like “Dreaming in Books: The Making of the Bibliographic Imagination in the Romantic Age”, and “Enumerations: Data and Literary Study”.

In this episode, we talk data science and new approaches in literary studies and literary criticism. We go through some of the major ways literature changed throughout history, and talk about the impact of industrialization, rereading, repeating, and punctuation marks. We also discuss what distinguishes fiction from nonfiction, and new ways of doing literary criticism. Finally, we talk about how digital media changes reading, and the study of social and cultural phenomena through literature.

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