What's Happening


Marina Rustow awarded Medieval Academy of America’s Haskins Medal for ‘astonishing’ book on Cairo’s ‘Lost Archive’
Feb. 9, 2022

Marina Rustow, the Khedouri A. Zilkha Professor of Jewish Civilization in the Near East, professor of Near Eastern studies and history, has been awarded the 2022 Haskins Medal by the Medieval Academy of America for her book “The Lost Archive: Traces of a Caliphate in a Cairo Synagogue.

New Publication by Anthony Grafton
Jan. 26, 2021

Information: A Historical Companion, new volume co-edited by Anthony Grafton, has been published by Princeton University Press.

This collaborative volume traces the evolution of human approaches to gathering, storing and processing information…

New Publication by Anthony Grafton
Jan. 18, 2021

Impagination: Layout and Materiality of Writing and Publication, an interdisciplinary volume on codicology, philology and material culture co-edited by Anthony Grafton, has been published by De Gruyter publishing.

Upcoming Events

Winter School - Introduction into HTR: Handwritten Text Recognition Technologies of Medieval Manuscripts (Latin|German|Czech)

A revolution has slowly begun in the study of historical documents: Machine Learning tools have been developed to allow for the automatic transcription of documents. Over the last decade, these tools can now help assist in the production of texts from medieval manuscripts at previously unobtainable levels of accuracy. Today, libraries have used these tools to make their collections searchable, while researchers have sped up the process of creating editions of texts and adopted them for the study of medieval documents.

The course will offer an introduction into some of these ongoing projects, but more importantly provide an introduction into the practice of studying medieval documents with Handwritten Text Recognition (HTR) technologies.

Zoom and Vienna

Marina Rustow

Princeton Machine Learning and the Future of Philology Symposium

What will philology become in the wake of the digital revolution? How can computer vision, handwritten text recognition, natural language processing, deep neural networks and/or other forms of machine learning refine the arsenal of techniques for studying premodern evidence.