Digital Theory H-Lab

Digital technologies permeate our culture today, leaving virtually no area of meaning-making untouched. Vast social media platforms struggle to cope with the political consequences of their own scale, economics increasingly acknowledges a new type of capital in digital data, and artificial intelligence has gained an incipient infrastructural role in our societies through the help of planetary-scale computing. 

The Digital Theory H-Lab seeks to develop and maintain the broad-based, interdisciplinary conceptual framework necessary for understanding and transforming the way we live in and with the digital.

Employing a workshop-based, collaborative learning approach to the history and theory of the digital, the Lab fosters projects and writing that contribute to a theoretical framework for understanding the nature of the digital. In the fall semesters, the Lab focuses on the history and theory of the digital, reading historical sources and conducting hands-on experimentation in the quickly differentiating realm of digital processing techniques. In the spring semesters, we explore the technical and philosophical aspects of Machine Learning, the branch of Artificial Intelligence that takes advantage of the ubiquity of digital data and that is quickly becoming ubiquitous itself. 

Lab Team

    • Leif Weatherby, FAS, Associate Professor of German
    • Joseph LemelinPostdoctoral Fellow, Center for Data Science 
    • Lisa Gitelman, Steinhardt, Professor of Media and English
    • Cliff Siskin, FAS, Professor of English and American Literature
    • David Bering-Porter, New School 
    • Zachary CobleHead, Digital Scholarship Services, NYU Bobst Library 
    • Claire Y. Song, FAS, Comparative Literature
    • Samuel Kellogg, Steinhardt, Media, Culture, and Communication 
    • Ryan Healy, FAS, English