The DHAI Seminar


When Digital Humanities Meet Artificial Intelligence

Welcome to the Digital Humanities / Artificial Intelligence Seminar!

Goal

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 coupling AI/DH is globally emerging as one key interface for both domains and will probably prove to be a deep transformative trend in tomorrow intellectual world.

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.

Next seminars

The seminar will meet at 10h at the Centre Sciences des Données at the École Normale Supérieure unless otherwise specified.

Date: 6 February 2024, 10h-12h
Location: Centre Sciences des Données at the École Normale Supérieure (3rd floor near stairway C)
Speaker: Xavier Fresquet (Sorbonne Center for Artificial Intelligence)
Title: Algorithms in the Abbey: Deep Learning and Medieval Music
Abstract: In this presentation, we will explore the impact of deep learning techniques on research at the intersection of musicology and medieval studies. We will commence by analysing the utilization of deep learning for Optical Music Recognition (OMR) within the realms of medieval musicology and computer science. Subsequently, we will investigate its applications in the analysis of medieval images, particularly in the context of musical iconography and organology. Finally, we will delve into the application of these techniques in examining the relationship between text and medieval music, with a specific focus on stylometry applied to medieval secular songs.
Xavier Fresquet serves as the Deputy Director at the Sorbonne Center for Artificial Intelligence (SCAI). Following the completion of his Ph.D. in musicology and digital humanities at Paris-Sorbonne, Xavier Fresquet joined UPMC, later becoming a part of Sorbonne University, in 2015. His research interests revolve around the intersections of musicology, medieval studies, and digital humanities, with a recent focus on machine learning. It encompasses the analysis of images depicting medieval performances, use of theoretical texts related to the Medieval musical world, and the study of musical notation. Xavier Fresquet actively participates in the Musiconis database, the most extensive repository of medieval musical iconography. Additionally, he authors a musicological blog named Mnemomed, devoted to the exploration of the Mediterranean's medieval musical heritage.

Date: 2 April 2024, 10h-12h
Location: Centre Sciences des Données at the École Normale Supérieure
Speaker: Charlotte Duvette & Paul Kervegan (INHA)
Title: Richelieu. Histoire du quartier
Abstract: forthcoming

Date: 14 May 2024, 10h-12h
Location: Centre Sciences des Données at the École Normale Supérieure
Speaker: tba ()
Title:
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Date: 4 June 2024, 10h-12h
Location: Centre Sciences des Données at the École Normale Supérieure
Speaker: tba ()
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Past seminars

You can access here the list of past seminars.

Mailing list

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