HomeDigital Humanities meet Artificial Intelligence Seminar Series

HomeDigital Humanities meet Artificial Intelligence Seminar Series

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Published on Thursday, May 04, 2023


DHAI Seminar Summary : Fostered by the creation of new algorithms, computation power and the development of deep learning techniques, Artificial Intelligence needs constantly to confront new issues and data sets in order to deepen its methodologies and increase its range of scientific applications. Digital humanities, developing digital science methodologies in the study of humanities and using the critical approaches of humanities in the analysis of the contemporary “digital revolutions,” are constantly in search of new tools to explore more and more complex and diversified data sets. The ambition of this seminar is to be one of the places where this coupling is shaped, fostered and analyzed. It intends to offer a forum where both communities, understood in a very inclusive way, exchange around emerging issues, ongoing projects, and past experiences in order to build a common language, a shared space, and to encourage innovative cooperation on the long run.



Tuesday, 9 May 2023, 12h-14h (Paris time)

ModERN - Modelling Enlightenment. Reassembling Networks of Modernity through data-driven research

  • Speaker : Glenn Roe (CELLF, Sorbonne) & the ModERN team

The ERC-funded ModERN Project - Modelling Enlightenment. Reassembling Networks of Modernity through data-driven research – is a five-year project whose primary goal is to establish a new ‘data-driven’ literary and intellectual history of the French Enlightenment; one that is both more comprehensive and more systematic in terms of its relationship to the existing digital cultural record, and one that challenges subsequent narratives of European Modernity. To accomplish this, ModERN is deploying a unique combination of cutting-edge computational technologies, a conceptual framework that merges actor-network theory with data-driven discovery, and traditional critical and textual methods, all of which are used to scrutinise the digital archive of the Enlightenment period in France and its aftermath. Specifically, the project employs new techniques for large-scale text analysis and deep neural network language modelling developed in the digital humanities and artificial intelligence communities to identify and analyse conceptual and intertextual networks over an unprecedented collection of 18th- and 19th-century texts. In the context of the DHAI seminar, the ModERN team will present the initial stages of the project, including corpus construction, large-scale text alignment, noise reduction using BERT and other LLMs, and preliminary network analyses.

École normale supérieure, 45 rue d’Ulm, 75005 Paris, Centre Sciences des Données (3rd floor by stairway C)

Register for the DHAI announcement list to receive the Zoom link, no registration necessary for in-person attendance.

Wednesday, 7 June 2023, 10h-12h (Paris time)

Measuring Representation in Culture

Much work in cultural analytics has examined questions of representation in narrative--whether through the deliberate process of watching movies or reading books and counting the people who appear on screen, or by developing algorithmic measuring devices to do so at scale. In this talk, I'll explore the use of NLP and computer vision to capture the diversity of representation in both contemporary literature and film, along with the challenges and opportunities that arise in this process. This includes not only the legal and policy challenges of working with copyrighted materials, but also in the opportunities that arise for aligning current methods in NLP with the diversity of representation we see in contemporary narrative; toward this end, I'll highlight models of referential gender that align characters in fiction with the pronouns used to describe them (he/she/they/xe/ze/etc.) rather than inferring an unknowable gender identity.

David Bamman is an associate professor in the School of Information at UC Berkeley, where he works in the areas of natural language processing and cultural analytics, applying NLP and machine learning to empirical questions in the humanities and social sciences. His research focuses on improving the performance of NLP for underserved domains like literature (including LitBank and BookNLP) and exploring the affordances of empirical methods for the study of literature and culture. Before Berkeley, he received his PhD in the School of Computer Science at Carnegie Mellon University and was a senior researcher at the Perseus Project of Tufts University. Bamman's work is supported by the National Endowment for the Humanities, National Science Foundation, the Mellon Foundation and an NSF CAREER award.

Observatoire de Paris, 77, avenue Denfert-Rocherau 75014 Paris, Salle du Conseil.

Pre-registration by Sunday, 4 June is mandatory in order to be admitted to the Observatoire grounds.

Contact scott.trigg@obspm.fr with any questions.


  • École normale supérieure, Centre Sciences des Données, 3rd floor by stairway C - 45 rue d’Ulm
    Paris, France (75005)

Event attendance modalities

Hybrid event (on site and online)


  • Tuesday, May 09, 2023
  • Wednesday, June 07, 2023


  • Enlightenment, modernity, digital humanities, artificial intelligence


  • Scott Trigg
    courriel : scott [dot] trigg [at] obspm [dot] fr

Reference Urls

Information source

  • Scott Trigg
    courriel : scott [dot] trigg [at] obspm [dot] fr


CC0-1.0 This announcement is licensed under the terms of Creative Commons CC0 1.0 Universal.

To cite this announcement

« Digital Humanities meet Artificial Intelligence Seminar Series », Seminar, Calenda, Published on Thursday, May 04, 2023, https://doi.org/10.58079/1b4b

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