Defining what we study: The contribution of machine automation in archaeological research

In the 21st century, advances in computer science have impacted archaeology, most recently in the development of automated algorithms. Like most technology, these methods have been the source of ongoing debate, particularly in their utility for archaeology. Here, I focus on a contribution of automation and machine learning in archaeology that is often overlooked: the ability of computer algorithms to codify unambiguous, semantically consistent definitions. Archaeology has long struggled with establishing consistent characterizations of the phenomena it studies. As such, I argue that the procedures used for automated methods are useful for archaeologists – even outside of automated analyses – by allowing for the creation of consistent definitions which permit for reproducible research designs.

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Work Title Defining what we study: The contribution of machine automation in archaeological research
Access
Open Access
Creators
  1. Dylan Davis
Keyword
  1. machine learning
  2. archaeology
  3. semantic consistency
  4. remote sensing
License In Copyright (Rights Reserved)
Work Type Article
Publisher
  1. Elsevier
Publication Date 2020
Publisher Identifier (DOI)
  1. 10.1016
Related URLs
Deposited January 25, 2021

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Version 1
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  • Created
  • Added Creator Dylan Davis
  • Added Davis_DAACH_AV.pdf
  • Updated License Show Changes
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    • https://rightsstatements.org/page/InC/1.0/
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Version 2
published

  • Created
  • Updated Publisher Identifier (DOI), Related URLs Show Changes
    Publisher Identifier (DOI)
    • 10.1016/j.daach.2020.e00152
    • 10.1016
    Related URLs
    • https://doi.org/10.1016/j.daach.2020.e00152
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