Isabella Di Lenardo
+41 21 693 35 22
EPFL › ENAC › ENAC-SAR › SAR-ENS
+41 21 693 35 22
Office:
CM 1 468
EPFL › ENAC › IA › LASUR
Website: https://lasur.epfl.ch/
Expertise
Education
Ph.D
| Theories and History of Arts and Honourable mention / Prize of department
2009 – 2013
SSAV Scuola Superiore di Studi avanzati in Venezia (Venice) || IUAV Istituto Universitario di Architettura (Venice) ||University Ca' Foscari, scuola interateneo in Storia delle Arti (Venice)
Directed by
Bernard Aikema ; Donatella Calabi
MA
| Letters and Philosophy, specialization in Art History and Archeology
2008 – 2008
University Ca' Foscari (Venice)
Directed by
Augusto Gentili
History of Art and Architecture
|2010 – 2011 Nederlands Interuniversitair Kunsthistorisch Instituut (NIKI)(Florence)
Professionals experiences
Lecturer
Publication
Research
Current Research Fields
Computational enrichment of cultural heritage: I develop algorithmic pipelines (HTR/OCR, semantic annotation, 3D photogrammetry, and visual-similarity models) that transform primary archival materials into interoperable, provenance-aware research objects. These digital augmentations increase interpretive density, enabling multilayered querying, large-scale comparative analysis, and linked-open-data interoperability, while supporting ethical stewardship, wider accessibility and participatory curation of heritage resources.
Digital art history and computational study of image circulation: quantitative and computational approaches to large image and archival corpora that map networks of actors (patrons, dealers, collectors, ateliers) and trace the geo-temporal diffusion of visual forms. Using image-similarity models, network analysis, prosopographic linkage and spatio-temporal mapping, this axis reconceptualises centre/periphery dynamics and uncovers understudied agents and pathways of transmission while combining close visual reading with scalable, reproducible pattern-detection.
Conferences
Invited Keynote
et des Beaux-Arts de Belgique avec le parrainage du Collège de France, (with Frèdéric Kaplan) Bruxelles, Oct. 2019 https://lacademie.tv/conferences/les-musees-dans-l-ere-des-repliques-authentiques-et-des-mondes-miroirs
Plenary speeches
Chair session
Corinne Le Bitouzé (BnF) : Les collections de mode du département des Estampes et de la photographie de la Bibliothèque nationale de France, Corinne Le Bitouzé, Bibliothèque nationale de France (BnF), site Richelieu, 24 mai 2019
Parcels of Venice
The Parcels of Venice project created one of the most comprehensive geohistorical computational model of city of Venice by extracting and aligning cadastral data, with a diachronic model of the city and its population. Built on a robust “informational skeleton” of 19th cadastral sources, the project integrated additional datasets from the 16th to the 18th centuries, as well as a medieval Venice dataset.
Two public platforms were developed: The Time Atlas (https://timeatlas.eu/), for the general public to connect places with archival documents, and a Visual Analytics Dashboard for researchers to explore thematic maps, analyze property distribution, ownership patterns, and institutional change, and test historical hypotheses. The project also introduced key processing pipelines for cadastral maps and registers, enabling both Venice-specific and cross-national applications.
The resulting datasets, covering cadastral surveys from 1582 to 1808, land registers, ownership records, commercial directories, and historical toponyms, are available on parcelsofvenice.epfl.ch and timeatlas.eu, with open access on Zenodo planned for 2025. Through workshops and community-building initiatives, the project has laid the foundation for a growing network of scholars, heritage institutions, and digital humanists using its methods and data to explore historical urban morphology at unprecedented scale and detail.
Teaching & PhD
Past EPFL PhD Students as codirector
Paul Guhennec (2025), Rémi Petitpierre (2025), Benoît Laurent Auguste Seguin (2018), Beatrice Vaienti (2025)
Courses
AI for urban history
URB-409
This course explores how AI and LLMs can be used to analyze historical urban data. Students study city evolution (1700-now) through hands-on projects, producing a web interface and a visual booklet based on sources like maps, directories, and cadastral records.
Digital urban history: Lausanne Time Machine I
HUM-450
This course is part of a series of interdisciplinary and collaborative courses open to students from UNIL and EPFL. It focuses on urban history through the application of computational methods and the development of a digital project in group.
Digital urban history: Lausanne Time Machine II
HUM-454
This course is part of a series of interdisciplinary and collaborative courses open to students from UNIL and EPFL. It focuses on urban history through the application of computer methods and the development of a digital project.
AI for Urban History
Digital Urban History
This course aims to develop interdisciplinary skills by combining the fields of expertise of history and digital studies.
It mainly focuses on theoretical and practical learning of digital methods applied to the analysis of past cities.
The course explores the digitization of historical cartography and information modeling of historical data concerning the city.
The use and extraction of cadastral, demographic, and iconographic sources but also various sources that tell the story from other perspectives such as historical press, trade almanacs, and more.
The course has a theoretical part in which various case studies are analyzed across Europe.
Students work on data extracted from ongoing urban analysis projects.
Since 2020 they develop projects on Lausanne and the surrounding area. The site is analyzed in its evolution over time under multiple aspects: the morphological evolution of the city, population history, cultural heritage history, aspects related to uninhabited space and ecology, textual sources such as the press or some literary sources. All the projects are published online.
Digital Humanities
Students will learn to transform biographical narratives, traced across time and space, into digital data. The primary objective is for participants to create wiki-based sources by piecing together biographical profiles of individuals who, though mentioned in historical records like newspapers, lack an online presence. The curriculum covers essential skills such as wiki syntax, person identification, Ngram analysis, and digital cartography. Through this course, students will uncover the 'dark matter' of history—those personalities referenced in historical documents but absent from the digital realm. This exploration emphasizes the importance of digitizing historical data, a key process for expanding and refining our collective understanding of history.