Humanities undergraduates and graduate students have grown more comfortable with applying computational approaches in their research. Meanwhile, data and computational scientists are urgently addressing algorithmic bias and the possibility of drawing on humanistic approaches—historical context, critical thinking, and close reading—when creating datasets and new computational tools.
As scholars of technology and culture, the members of the Humanities Computing Curriculum Committee (HC3) know that there are no neutral algorithms, that informational bias is everywhere, and that it takes awareness, imagination, and hard work to interrogate data, let alone to fully comprehend the seemingly objective ways that emerging technologies are deployed in the world today. To learn more about HC3, click here.
How to Get Involved
List of faculty interested in advising student research projects in humanities computing.
Visit this page for opportunities to collaborate on humanities computing and digital activism projects with Princeton faculty, students, and local…
Links to data produced by and for humanities scholars: historical images, texts, maps, spatial data, etc.
Examples of past junior papers and senior theses that apply computational methods to humanities research.
View Wintersession workshops and classes relevant for humanities computing.
A list of related courses at the intersection of the humanities and computer science.
🚧 check back for suggestions of pathways across departmental offerings, and for ways to sequence courses together 🚧