What Books Do, Empirically Speaking with Dr. Andrew Piper
Episode description
Data scientist Dr. Andrew Piper joins Shelf Love to share how data science can help the romance community answer the big questions that close reading can’t answer. Andrew’s the director of McGill University’s .txtlab, a laboratory that uses machine learning to ask questions like why do people enjoy the work they love? And once we empirically quantify what’s going on here, he asks us to think about what we’d like to do about it.
Guest: Dr. Andrew Piper
Website | Twitter | Enumerations: Data and Literary Study
Andrew Piper is Professor and William Dawson Scholar at McGill University. He is the director of .txtlab, a laboratory that uses machine learning and data science to understand literature and culture.
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Tweets discussed in this episode:
@katrinaJax: “is it me or are there so many more white romances this year and being announced? like... a lot...”
@momonoki8: Who is critique use of blonde, pink lips, thinness, small waists and blushing cheeks etc in contemporary white-led romance novels? @ShelfLovePod
Shelf Love: