Mediterranean and northern european archaeology: a computational comparison

Hamza Kchan, Saira Noor

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. 


Keywords


AR/VR in archaeology; Computational technologies geographic information system in archaeology MTC; 98% accuracy; Prediction models; Regional methodological

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DOI: https://doi.org/10.11591/csit.v6i3.p326-334

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Computer Science and Information Technologies
p-ISSN: 2722-323X, e-ISSN: 2722-3221
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Universitas Ahmad Dahlan (UAD).

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