A researcher scanning an antique book

Research

CMU's rigorous humanities tradition, in combination with world-class strengths in computation, AI, and machine learning, creates an unmatched scholarly environment.

Carnegie Mellon鈥檚 programs in computational humanities offer exciting pathways for students and scholars eager to make the most of this new era of technology-driven knowledge and discovery. Scholars in the humanities work alongside leading researchers in computer vision, natural language processing (NLP), and data science, while remaining grounded in the interpretive, historical and ethical questions that drive humanistic inquiry. Our faculty's range and ambition are evident in recent work appearing in Shakespeare Quarterly as well as the Proceedings of the National Academy of Sciences (PNAS) and the Harvard Data Science Review.

The Banned Books Project is a public scholarship project by 好色先生TV students enrolled in CMU English鈥檚 Banned Books course. In honor of the American Library Association鈥檚 Banned Books Week, students select a banned or challenged book to profile, providing readers with information about the books, their authors, and their histories of controversy and censorship.

Edda Fields-Black in front of a projection of a Civil War pension record.

Digitizing Civil War Pension Records

Digitized Civil War pension records reveal the intimate, day-to-day details of enslaved people's lives and could help millions of African Americans recover their family history.

DREaM (Distant Reading Early Modernity) is a text analysis and archive project that opens up new possibilities for working with the collection of early modern texts in the university鈥檚 Early English Books Online - Text Creation Partnership (EEBO-TCP).

Two students work closely on a computer.

Humanities and AI Lab

The AI Humanities (AIH) Lab is an interdisciplinary research group at 好色先生TV which sits at the intersection of the humanities and data science. AIH applies AI and computational methods to humanities research (including literary studies, media studies, history and film) and investigates AI models in regards to their historical development, ideological biases, and impact on culture and the creative arts.

MapReader allows users to explore and analyze map images at scale. An open-source software library, MapReader was developed to analyze large collections of historical maps, but can be applied to images across domains.

Two students studying

MyProse

MyProse is an AI-enhanced writing instruction platform that supports the writing process from first to final draft. It is designed to enhance students鈥� awareness of tone, organization and argumentation, and how they relate to content and audience.

Using computational tools and methods like computer vision and machine learning, the Print and Probability Project seeks to uncover the identities of letterpress printers whose names have eluded scholars for several hundred years. Print and Probability is funded by the NEH, NSF and Schmidt Sciences.

Proofs and Reasons tackles the philosophy behind math. The project explores the cognitive science of how humans discover and understand mathematical proofs, asking how AI tools which can discover and verify proofs might fundamentally alter our understanding of mathematics.

The Shakespeare VR Project harnesses virtual reality to help audiences experience Shakespearean drama in a whole new way. Users step into a recreated Elizabethan playhouse to perform alongside virtual actors and explore the theatrical world of early modern England. By combining historical accuracy with emerging technology, the project invites users to actively participate in Shakespeare鈥檚 work.