What Books Do, Empirically Speaking with Dr. Andrew Piper

from Shelf Love: Romance Novel Discourse · host Andrew Piper

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 PiperWebsite | Twitter | Enumerations: Data and Literary StudyAndrew 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.Shelf Love:Join the Conversation on Discord: https://www.patreon.com/ShelfLoveSign up for the email newsletter list | Website | Patreon | Twitter | Instagram | YouTubeEmail: [email protected] 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:NEW! Substack for original writing and stuff | Website | Twitter | Instagram | YouTubeEmail: [email protected]

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This episode is 1 hour and 7 minutes long.

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This episode was published on March 30, 2022.

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