Learning Opportunities in AI Humanities
Each semester, the Lab offers several opportunities for students to get involved in our work, and learn about topics and methods at the intersection of AI and the humanities. If you are an undergraduate student interested in getting involved with us, please consider the courses listed below. We also sometimes offer internships and paid research assistantships in the lab. We are also always happy to work with interested graduate students in the digital humanities.
For more information, please reach out to Prof. Kirilloff (gabik@andrew.cmu.edu) or Prof. Carroll (ccarrol2@andrew.cmu.edu).
Fall 2026 Courses
76-314: Data Stories (Prof. Carroll)
Every dataset has a story. In the age of big data, it is vital to understand the unlikely casts of algorithms, data miners, researchers, data janitors, pirates, data brokers, financiers, etc. whose activities shape culture. This course will explore cases such as the London cholera epidemic, Google Books, Netflix, the Oxford English Dictionary, the Strava map, and the Queen Nefertiti scan alongside several pieces of art and fiction that capture aspects of data stories typically obscured elsewhere. Research methods introduced will include book history, media archeology, history of information, infrastructure studies, ethnography, narratology, and digital forensics. Students will read scholarly articles, novels, journalism, and popular non-fiction; they will test algorithms; and they will develop individualized long-form research and writing projects informed by computational methods in data studies, journalism, and art.