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
Her training began with archaeology and then moved to Modern Art History, particularly the Venetian context between 1400 and 1800. Her interest primarily lies in the European circulation of artworks and figurative patterns between 1500 and 1650.
She holds a Ph.D in Theories and Art History. Her doctoral dissertation in 2013 provided insightful analysis into the artistic, social, and economic forces driving the trade and circulation of art between key Italian centers and the Flemish cultural area.
Since 2012 she conducted studies on urban history applying digital methodologies, particularly geographic information systems, collaborating on pioneering projects in this field such as Visualizing Venice held by the University Institute of Architecture in Venice, the University of Padua, and Duke University.
In 2014 she joined the Digital Humanities Laboratory at EPFL as a scientific collaborator. She was involved in several projects on urban reconstruction and visual analysis of artworks. She led the Replica project in collaboration with the Giorgio Cini Foundation in Venice, which involved digitizing the historical photo library and creating a search engine for visual similarity and visual genealogy between images. In this context she coordinated teams of researchers, students, professionals and curators to carry the project.
Between 2018 and 2020, she was a post doc at INHA in Paris holding the role of Principal Investigator National Institute of Art History in Paris initiating and leading the "Richelieu District" urban reconstruction project.
She is Co.PI in the project, SNFS, Parcels of Venice aimed at reconstructing the informational and morphological evolution of urban property in Venice between 1700 and 1808. In this project, thousands of land records were extracted and analyzed to allow for the densification of information related to the owners and functions of the urban before and after the fall of the Ancien Regime in Venice. An exploration and research interface is planned between 2024 and 2025.
Starting in 2016, she was among the initiators of the Time Machine: Big Data of the Past for the Future of Europe project. The aim of the project was that Time Machine design and implement advanced new digitization and Artificial Intelligence (AI) technologies to mine Europe's vast cultural heritage, providing fair and free access to information that will support future scientific and technological developments in Europe. From the European Time Machine project originated the Time Machine Organization in which Isabella di Lenardo is coordinator of Local Time Machines on a European scale.
Over the years he has coordinated research teams with diverse profiles: researchers, scholars, public institutions, private foundations, and companies. She is very comfortable in international and interdisciplinary working environments, and regularly acts as an intermediary between computer scientists, humanities scholars, engineers, and representatives of cultural institutions.
She has been teaching ex cathedra courses in Urban History since 2010, at EPFL since 2014 in Digital Urban History and also Digital Art History at other universities on an international scale.
Education
Ph.D
| Theories and History of Arts and Honourable mention / Prize of department2009 – 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)
MA
| Letters and Philosophy, specialization in Art History and Archeology2008 – 2008 University Ca' Foscari (Venice)
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
Benoît Laurent Auguste Seguin, Paul Guhennec, Beatrice Vaienti, Rémi Guillaume Petitpierre
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.