Shakespeare and Company Project

Built by CDH

A digital project, a public resource, and a data design challenge, S&Co enables programmatic access to the rich and complex archival materials of the Sylvia Beach collection at Princeton University.

Data Development
Database
Digital Research Infrastructures
English
Information Retrieval
Interface Design
View project website
freund_beach.jpg

Code

Code

Rebecca Sutton Koeser, Nick Budak, Benjamin W. Hicks, et al., “Princeton-CDH/Mep-Django: V1.2” (Center for Digital Humanities at Princeton, July 14, 2020)

Data

Data

Rebecca Sutton Koeser, & Joshua Kotin. (2025). Shakespeare and Company Project Datasets [Data set]. Version 2. Princeton University.

Joshua Kotin & Rebecca Sutton Koeser, et al. (2022). “Shakespeare and Company Project Dataset: Lending Library Members, Books, Events.” Princeton University.

Publications and Presentations

Publications and Presentations

Joshua Kotin and Rebecca Sutton Koeser, “Shakespeare and Company Project Data Sets, Version 2.0,” Journal of Cultural Analytics 11, no. 1 (May 8, 2026)

Joshua Kotin and Rebecca Sutton Koeser, “The World of Shakespeare and Company,” Special Issue, Journal of Cultural Analytics 9, no. 2 (May 29, 2024) and Modernism/modernity 8, Cycle 3 (May 28, 2024)

Rebecca Sutton Koeser and Zoe LeBlanc, “Missing Data, Speculative Reading,” Journal of Cultural Analytics 9, no. 2 (May 29, 2024)

Fedor Karmanov and Joshua Kotin, “A Counterfactual Canon,” Journal of Cultural Analytics 9, no. 2 (May 29, 2024)

Joshua Kotin and Rebecca Sutton Koeser, “Shakespeare and Company Project Data Sets,” Journal of Cultural Analytics 7, no. 1 (February 9, 2022)

Joshua Kotin and Rebecca Sutton Koeser, “Shakespeare and Company Project,” Visualizing Objects, Places, and Spaces: A Digital Project Handbook (February 25, 2021)

Joshua Kotin and Rebecca Sutton Koeser, “Shakespeare and Company: Top Ten Lists,Shakespeare and Company Project, (Center for Digital Humanities, Princeton University, November 16, 2020)

Joshua Kotin and Rebecca Sutton Koeser, “The Shakespeare and Company Lending Library Cards in Context,” Shakespeare and Company Project (Center for Digital Humanities, Princeton University, March 9, 2020)

Nick Budak, “Representing Gender in the Shakespeare and Company Project,” Shakespeare and Company Project (Center for Digital Humanities, Princeton University, December 12, 2019)

Project Peer Review

Project Peer Review

Andrew Thacker, “Review: Shakespeare and Company Project,” Reviews in Digital Humanities II, no. 7 (July 12, 2021)

Awards

Awards

Finalist in the Fast Company 2021 Innovation by Design Awards (Category: Learning)

Summary

A digital project, a public resource, and a data design challenge, Shakespeare and Company is one of the CDH’s most successful legacy projects. Frequently cited by scholars in literary and historical disciplines, the project enables programmatic access to the rich and complex archival materials of the Sylvia Beach collection at Princeton University.

Research Challenge

Archival materials, such as the lending cards from Sylvia Beach’s Shakespeare and Company bookshop and lending library, have the potential to reveal rich details of the lived experience of the past and enable transformational scholarship. However, the themes and patterns are notoriously difficult to access because the materials are unstructured, sporadic, and inconsistent. Transforming the complex information within the library lending card into structured data for analysis is the challenge the CDH team undertook in the Shakespeare and Company project.

CDH's Technical Innovation

The CDH developed the data model for capturing the information within the lending cards, such as books and how they circulated, as well as members of the lending library, what they read and where they lived. Notably, the CDH also created the widely used public website to make that data accessible to a wide audience. The team developed or enhanced the following open source software libraries in conjunction with the project: viapy for integration with VIAF (the Virtual International Authority File); djiffy for displaying IIIF Manifests for books; parasolr for Apache Solr indexing; and Django-pucas for managing users with a CAS (Central Authentication Service) system. The project also inspired the creation of the undate library, which enables programmatic access to incomplete dates, such as those found within the library lending cards.

Collaborative Origins

Shakespeare and Company is the result of the aligning of the research interests of Princeton faculty, the holdings of Princeton’s Special Collections, and the methodological expertise of the CDH. Founded in 2014 by Joshua Kotin (Associate Professor, English), Jesse McCarthy (PhD, English), and Clifford Wulfman (CDH) as “Mapping Expatriate Paris,” the project began with an effort to transcribe and encode the logbooks and lending cards from the Sylvia Beach collections. CDH developed the website and datasets, enabling users to explore the reading histories of the members of the lending library (including Ernest Hemingway) and to track the circulation of books.

Implications for the Humanities

The data contained within the lending library cards offers insights into a range of topics of interest to scholars of the early twentieth century, from reading habits of Lost Generation authors to the physical contours of US expatriate life in Paris. Beyond Kotin’s scholarship, the project and data have been cited in more than numerous scholarly articles in Modernist studies.

How to use

The CDH provides access to the resulting data for browsing through an online database (powered by Django), and for computational analysis through published datasets.

Photo of Beach in Shakespeare and Company by Gisele Freund.

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Mapping borrowing patterns in the Shakespeare and Company library

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Related events

Team

Project Director

Technical Lead

Project Alums

Carl Adair
Serena Alagappan
Oliver Browne
Harriet Calver
Jin Chow
Currie Engel
Madeleine Joelson
Carolyn Kelly
Sara Krolewski
Ellie Maag
Isabel Ruehl
Sylvie Thode
Clifford Wulfman

Grants

2020–

Long Term Support

2020–2021

Project Enhancement

2019–2020

Dataset Curation

2018–2020

Sponsored Project

2016–2017

Sponsored Project

2015–2016

Sponsored Project

2014–2015

Seed