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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Current Key Intersections between Theoretical and Computational Archaeology

Monika Baumanová, Maria Wunderlich, Julian Laabs, Jan Kolář et al.
Advances in Archaeological Practice
Image Processing and 3D Reconstruction
article

Current Key Intersections between Theoretical and Computational Archaeology

Monika Baumanová, Maria Wunderlich, Julian Laabs, Jan Kolář, Martin Hinz, Michael Kempf, Margaux L. C. Depaermentier
article en

Abstract

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.

Advances in Archaeological PracticeVol. 13(4)
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)
National Science Foundation, European Commission, Deutsche Forschungsgemeinschaft, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Masarykova Univerzita
Openalex Percentile: Top 71%
Image Processing and 3D Reconstruction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.