"Carnegie Mellon University is tapping its strengths in computer and data science to reframe one of its humanities doctoral programs in hopes of preparing graduates to navigate an increasingly tough job market. Starting next fall, the English department at the Pittsburgh-based institution will offer a Ph.D. in computational cultural studies, which it says is the first program of its kind in the country."
"Students in the program will still take standard literature and cultural studies courses, but they'll also be required to take two computation-focused courses-one in the English Department and one from an outside department-and complete a series of projects guided by computational experts. Warren's own work has employed machine learning and generative artificial intelligence to investigate the history of the free press and social networks, but using computers to examine the past isn't the only approach students can take."
Carnegie Mellon is replacing a traditional literary and cultural studies doctorate with a Ph.D. in computational cultural studies beginning next fall. The program trains students to apply computational methodologies to historical, theoretical, and cultural scholarship while retaining standard literature and cultural studies coursework. Students must complete two computation-focused courses—one in the English Department and one outside—and a series of projects guided by computational experts. The program leverages the university's strengths in artificial intelligence and data science to enhance career prospects. Research approaches include machine learning and generative AI applied to historical archives, social networks, internet studies, and digital culture.
Read at Inside Higher Ed | Higher Education News, Events and Jobs
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