Early modern editions of Euclid’s Elements circulated across diverse educational, institutional and linguistic contexts. Their title pages offer a condensed record of how this foundational mathematical text was framed for different audiences, signaling authority, pedagogical aims, institutional affiliations and intended uses. This talk presents both a digital humanities approach to studying these title pages and the historical findings emerging from it. The study draws on a corpus of more than two hundred editions produced across Europe between the late fifteenth and seventeenth centuries. To analyze this material at scale, a researcher-in-the-loop digital platform was developed. The system combines automated extraction, AI-assisted tagging and iterative human intervention workflow, enabling systematic comparison across a large corpus while maintaining interpretive control. Through a guided exploration of the platform, the talk shows how this perspective help trace patterns difficult to detect through close reading alone, including shifts in claims of fidelity to Greek sources, emerging pedagogical emphases on clarity and utility and the interplay between local institutional contexts and cross-European scholarly networks. Alongside these historical findings, methodological and technical aspects will be addressed.

Mia Joskowicz is a PhD candidate in the History Department at Tel Aviv University and a research engineer at Laboratoire SPHère (CNRS) in Paris. Her research examines early modern mathematical education and the printed transmission of Euclid’s Elements, integrating traditional methodologies and digital humanities approaches. At Laboratoire SPHère she develops tools for large-scale comparative analysis of early modern editions of the Elements.

Conçu dans le cadre d'une collaboration entre les projets DISCOVER (https://erc-discover.github.io/), EIDA (https://eida.hypotheses.org/) et VHS (https://vhs.hypotheses.org/), AIKON (https://aikon-platform.github.io/) est un environnement de recherche numérique dédié à l'étude des corpus historiques illustrés. Développé de façon modulaire, l'environnement se présente sous la forme d'une plateforme web collaborative dotée de fonctionnalités permettant de constituer des corpus d'étude, d'exécuter des méthodes d'analyse issus de la vision artificielle (extraction de régions, recherches de similarités, vectorisation, etc.) sur des sélections de documents, d'annoter, d'explorer et de visualiser les résultats obtenus. Nous présenterons les fonctionnalités d'AIKON et illustrerons leur usage pour l'étude, conduite dans VHS, de la circulation des savoirs mathématiques par le biais des images au cours de la période moderne, avec une principale question en ligne de mire : celle de l'interprétabilité des résultats.