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Digital Archaeology

Promises and Impasses
Authors: Kalayci, T.; Lambers, K.; Klinkenberg, V.;

Digital Archaeology

Abstract

Archaeology has gone digital for some time now! Topics such as GIS databases, 3D models, drone photography, meta- and para-data, semantic mapping, text mining, simulation, and social network analysis have become commonplace in archaeological discourse and practice. Digital and technological advancements seemingly offer limitless promises for data recording, analysis and dissemination. Yet, after several decades of innovation, we must ask ourselves which of these promises are actually fulfilled, and which persistent impasses are present. Today, some reflexive questions are more important than ever. In particular, when, how and why do our innovative archaeology tools fail? Do we approach our archaeological projects with a digital wand and (implicitly or explicitly) expect a magical solution? And when there is indeed a digital solution, at what expense does it come?In this volume, scholars and practitioners in the field discuss the state of the art, as well as the promises and impasses that digital approaches to archaeology entail. The authors discuss the current state of teaching digital archaeology, the societal impact of digital innovations, current issues in archaeological data management, promises and limitations of isotopic research and remote sensing techniques, and why subfields such as agent-based modelling and serious gaming struggle to keep momentum.

Country
Netherlands
Keywords

Archaeological Theory, Archaeological Practice

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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