Artificial Intelligence and Data-Driven Approaches for Cultural Heritage
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Evolutionary Algorithms and Machine Learning".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 8
Special Issue Editors
Interests: artificial intelligence; data science; cultural heritage; imaging; pattern recognition; palaeontology; archaeology
Special Issues, Collections and Topics in MDPI journals
Interests: computer-based methods and tools for industrial design; 2D and 3D machine vision; colorimetry and spectrophotometry; innovative technologies for cultural heritage conservation
Special Issues, Collections and Topics in MDPI journals
Interests: reverse engineering and geometric modelling; CAD and generative design; additive manufacturing and 3D printing; AI and augmented reality for industrial and biomedical applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue is launched in collaboration with the Florence HeriTech 2026 International Conference, https://www.florenceheritech.com/, a unique forum dedicated to the intersection of cultural heritage and technological innovation.
In recent years, the use of artificial intelligence, machine learning, and advanced data analytics has become increasingly crucial for the study, preservation, and valorization of cultural heritage. From the analysis of artworks, manuscripts, and archaeological finds, to the monitoring of architectural sites and museum collections, AI-driven approaches are opening unprecedented possibilities.
The aim of this Special Issue is to collect high-quality contributions, presenting novel methodologies, algorithms, and applications in the field of cultural heritage. While particular attention is given to artificial intelligence and data-driven approaches, we also welcome studies that explore complementary computational techniques, imaging methods, and interdisciplinary strategies to enhance our understanding and protection of cultural heritage.
Further, we invite authors to submit original research articles, reviews, and case studies that address the challenges and opportunities of applying advanced algorithms to this fascinating domain.
We would like to extend our sincere gratitude to Dr. Elena Amodei, Director of the Salone dell’Arte e del Restauro di Firenze and co-founder of the Istituto per l’Arte e il Restauro, for her invaluable support and contributions to the development of this publication. Her long-standing commitment to cultural heritage preservation and her continuous efforts to foster dialogue between art, science, and innovation have been a source of great inspiration for this work.
Dr. Andrea Barucci
Dr. Rocco Furferi
Dr. Francesco Buonamici
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- cultural heritage
- data analysis
- machine learning
- computer vision
- imaging and signal processing
- pattern recognition
- data fusion
- interdisciplinary applications
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