Future-Proofing Heritage Future-Proofing Heritage with ARGUS: A Multimodal Digital Twin Approach for Sustainable Preservation

Computer Applications and Quantitative Methods in Archaeology Proceedings 2026 Open access

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Authors: George Pavlidis, Anestis Koutsoudis, Despoina Tsiafaki, Melpomeni Karta, Vasileios Sevetlidis, Vasileios Arampatzakis, Apostolos Sarris, Miltiadis Polidorou, Victor Klinkenberg, Zeyd Boukhers, Lingxiao Kong, Emeri Farinetti
+17 more Fernando Moreno Navarro, Ioannis Kakogiannos, Sofia Aparicio, Javier Ortega Heras, Fernando Ramonet, Athos Agapiou, Stylianos Hadjipetrou, Kyriakos Michaelides, Stavros Patsalidis, Phaedon Kyriakidis, Apostolos Papakonstantinou, Demetrios Athanasoulis, Christos Maris, Themistoklis Vakoulis, Tomoki Nagata, Katrin Beyer, Savvas Saloustros
DOI: 10.64888/caaproceedings.v52i1.942
Cited by: 3

Abstract

The preservation of cultural heritage faces increasing challenges from environmental, climatic, and anthropogenic pressures. The ARGUS Horizon Europe project addresses these challenges by proposing an innovative predictive preservation approach that leverages AI-driven digital twins and multimodal data fusion to assess and mitigate risks to heritage sites. Our research focuses on developing a sustainable, dynamic decision support system (DSS) that integrates multi-scale on-site and remote sensing data, enabling holistic heritage management, while focusing on the preventive rather than the reactive aspects. The primary research question treated in this paper relates to how digital twins incorporating multi-dimensional data and an ontology background enhance the preservation and adaptive management of cultural heritage in a changing environment.

Fields of Study & Subjects

3D Surveying and Cultural Heritage Conservation Techniques and Studies Archaeological Research and Protection

Publication details

Journal / source
Computer Applications and Quantitative Methods in Archaeology Proceedings
Publisher
CAA International
Volume
52
Issue
1
Pages
1–1
Publication date
10 March 2026
Language
EN