Archaeology

Archaeology's inherently interdisciplinary nature combines themes from the social sciences, humanities, and biological sciences, thus requiring diverse methods to reconstruct and understand past societies. The adoption of computational and digital tools has significantly transformed the discipline, enabling novel approaches to data analysis, management, and synthesis. Over the decades, archaeological practice has expanded beyond traditional excavation and artefact analysis to integrating methods like GIS, remote sensing, simulation, 3D modelling, and AI-driven techniques. These tools have not only enhanced efficiency but also fostered deeper theoretical engagement with contemporary issues such as ethics, decolonisation, and global challenges like climate change. The digital shift experienced by the discipline has expanded archaeology's focus towards large-scale cross-cultural comparisons and whole system models, emphasizing societal dynamics and human-environment interactions. Despite significant progress, challenges in data interoperability and management persist, highlighting the need for robust frameworks to sustain archaeological data's role in academic research and beyond.