Mediterranean and northern european archaeology: a computational comparison

Despite the proliferation of computational tools in archaeology, few studies systematically compare their regional adaptations or explore the epistemological assumptions guiding their application. This paper addresses four critical research gaps: (i) the lack of comparative regional analysis between the Mediterranean and Northern Europe in computational archaeology, (ii) the insufficient integration of philosophical and epistemological frameworks in predictive modeling, (iii) the underexplored application of artificial intelligence (AI) and network theory in spatial analysis, and (iv) the limited interdisciplinary synthesis of biological, geospatial, and digital data. By examining representative case studies from both regions, we highlight the methodological innovations, theoretical orientations, and institutional dynamics that shape regional practices. The study underscores the necessity of integrating computational methods with interpretive depth and interdisciplinary collaboration to foster a more reflective and inclusive digital archaeology.

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Publication Details

Journal
Computer Science and Information Technologies
Published
2025-09-09
DOI
https://doi.org/10.11591/csit.v6i3.p326-334
Primary Topic
Archaeology and ancient environmental studies
Type
article
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article

Mediterranean and northern european archaeology: a computational comparison

Hamza Kchan, Sàdaf Noor
Computer Science and Information Technologies
Archaeology and ancient environmental studies
article

Mediterranean and northern european archaeology: a computational comparison

Hamza Kchan, Sàdaf Noor
article en

Abstract

Despite the proliferation of computational tools in archaeology, few studies systematically compare their regional adaptations or explore the epistemological assumptions guiding their application. This paper addresses four critical research gaps: (i) the lack of comparative regional analysis between the Mediterranean and Northern Europe in computational archaeology, (ii) the insufficient integration of philosophical and epistemological frameworks in predictive modeling, (iii) the underexplored application of artificial intelligence (AI) and network theory in spatial analysis, and (iv) the limited interdisciplinary synthesis of biological, geospatial, and digital data. By examining representative case studies from both regions, we highlight the methodological innovations, theoretical orientations, and institutional dynamics that shape regional practices. The study underscores the necessity of integrating computational methods with interpretive depth and interdisciplinary collaboration to foster a more reflective and inclusive digital archaeology.

Computer Science and Information TechnologiesVol. 6(3)
Louisiana State University (US)
Openalex Percentile: Top 89%
Archaeology and ancient environmental studies
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Mediterranean and northern european archaeology: a computational comparison — Hamza Kchan, Sàdaf Noor · Computer Science and Information Technologies (2025) | TGRS Research Map | TGRS