Current Key Intersections between Theoretical and Computational Archaeology
Abstract Computational archaeology and theoretical archaeology often appear as separate domains within the field, each driven by distinct methodologies and objectives. Through the lens of discussions held at the 2021 Central European Theoretical Archaeology Group (CE-TAG) conference and analysis of a follow-up questionnaire, this study explores the current trends and intersections between these areas to identify opportunities for meaningful integration. We highlight key challenges, such as the theoretical underpinnings of computer-assisted methods, the epistemological implications of data-driven approaches, and the need for open-science practices. Our findings emphasize the importance of mutual understanding and collaboration, particularly in research and education, in bridging divides and enhancing the synergy between these domains. By addressing shared concerns such as bias, scalability, and methodological transparency, we propose a framework for fostering innovation in both computational and theoretical archaeology while maintaining their shared goal of interpreting the human past.
Authors
- Monika Baumanová (ORCID: https://orcid.org/0000-0001-6953-2636)
- Maria Wunderlich (ORCID: https://orcid.org/0000-0002-8455-1867)
- Julian Laabs (ORCID: https://orcid.org/0000-0003-1378-3908)
- Jan Kolář (ORCID: https://orcid.org/0000-0001-8013-6992)
- Martin Hinz (ORCID: https://orcid.org/0000-0002-9904-6548)
- Michael Kempf (ORCID: https://orcid.org/0000-0002-9474-4670)
- Margaux L. C. Depaermentier (ORCID: https://orcid.org/0000-0002-1801-3358)
Institutions
- Oeschger Centre for Climate Change Research (CH)
- Vilnius University (LT)
- University of Basel (CH)
- University of Cambridge (GB)
- Institute of Archaeology of the Slovak Academy of Sciences (SK)
- Czech Academy of Sciences, Institute of Archaeology, Prague (CZ)
- Leipzig University (DE)
- University of West Bohemia in Pilsen (CZ)
Publication Details
- Journal
- Advances in Archaeological Practice
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1017/aap.2025.10102
- Primary Topic
- Image Processing and 3D Reconstruction
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- European Commission
- Deutsche Forschungsgemeinschaft
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Masarykova Univerzita