ModERN – Modelling Enlightenment. Reassembling Networks of Modernity through data-driven research
Intervenants : Glenn Roe (CELLF, Sorbonne), Dario Nicolosi (ModERN), Valentina Fedchenko (ObTIC, ModERN)
Résumé
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.
Infos pratiques
Date : Mardi 9 mai 2023, 12h-14h / Tuesday, 9 May 2023, 12h-14h (Paris time)
Lieu : École normale supérieure, 45 rue d’Ulm, 75005 Paris
Centre Sciences des Données (3ème étage près de l’escalier C / 3rd floor by stairway C)
Inscrivez-vous à la liste d’annonces du DHAI pour recevoir le lien Zoom / Register for the DHAI announcement list to receive the Zoom link.
