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What Books Do, Empirically Speaking with Dr. Andrew Piper
Podcast |
Shelf Love: Romantic Love Stories in Pop Culture
Publisher |
Andrea Martucci
Media Type |
audio
Podknife tags |
Books, 
Feminist, 
Fiction, 
Love, 
Romance
Categories Via RSS |
Arts, 
Books, 
Relationships, 
Science, 
Social Sciences, 
Society & Culture
Publication Date |
Mar 30, 2022
Episode Duration |
01:07:41

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.

Shelf Love:

Join the Conversation on Discord: https://www.patreon.com/ShelfLove

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:

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.

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.

Shelf Love:

Join the Conversation on Discord: https://www.patreon.com/ShelfLove

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:

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