Graduate Program

Since its founding in 2014, the Center for Digital Humanities (CDH) has trained hundreds of graduate students from all fourteen PhD-granting humanities departments at Princeton plus Anthropology, Architecture, Computer Science, History, History of Science, Politics, and Sociology. Rather than applying ethics as an afterthought, our students learn from the start how to merge humanistic perspectives responsibly with data science. Our students reveal new insights about human culture through the informed and discerning use of data and computation. They ground these pursuits in a deep engagement with the history, theory, and political economy of AI. Whether applying or studying machine learning, our students draw on media studies, critical data studies, critical archival studies, cultural analytics, and computational humanities.

The CDH is known internationally as a leader in faculty, post-doc, and graduate mentorship. CDH-sponsored programs are widely-known as welcoming, community-driven spaces where students can gain methodological and critical training that crosses disciplines and divisions. Students have the opportunity to act in a variety of roles, including as research assistants, co-authors, project managers, University Administrative Fellows, workshop leaders, consultants, teachers, speakers, and participants in our events, working groups, and courses. Our practice is to meet each student where they are, regardless of their technical or critical skill levels upon enrollment.

There is no one right way to sequence the workshops, classes, and fellowships offered by the CDH and our campus partners like PUL Digital Scholarship (DiScho) and PICSciE. But the diagram below suggests some pathways that PhD students might want to follow: from introductory classes, to project-based learning, to advanced training, and finally capstone presentations.

See more grad stories.