Lost in digitalization? Using data as a source for quantitative art history
Zenodo (CERN European Organization for Nuclear Research)
Abstract
Panel that will be held at the DHBenelux 2026 conference. Abstract: The rapid advancements of data methods and technologies, coupled with the increasing availability of data from museums, researchers, and art-related institutions, open new avenues for applying data analysis to the field of art history. Nevertheless, art historical data are complex artifacts, whose selection reflects the interests of current and past art collectors and curators, and which often rely on uncertain, interpretative, and incomplete information. Furthermore, only a limited part of such data had been digitalized. In this context, the open question is how it is possible to conduct faithful and relevant quantitative analyses in the art history sector, given these limits and challenges. This panel aims to address this issue with speakers from an art historical, technical, or mixed background to discuss which adaptations are needed from statistics, biology, and data science to conduct quantitative analyses that are meaningful to advance art historical knowledge.
Authors 6
-
Leibniz Institute of European History
Affiliation as printed
Leibniz Institute of European History (IEG) | DH Lab
-
Leibniz Institute of European History
Affiliation as printed
Leibniz Institute of European History
-
Leuphana University of Lüneburg · Universidad de Málaga
Affiliation as printed
Leuphana University of Lüneburg
Universidad de Málaga
-
Affiliation as printed
Harvard University Center for Italian Renaissance Studies
-
Weixuan Li Aachen
Leiden University · Royal Netherlands Academy of Arts and Sciences · University of Amsterdam
Affiliation as printed
University of Amsterdam
Leiden University
Royal Netherlands Academy of Arts and Sciences
-
Royal Netherlands Academy of Arts and Sciences
Affiliation as printed
Royal Netherlands Academy of Arts and Sciences
Cited by 0 stored of 0
No patents citing this paper on Lens.org (checked 2026-10-11).