Journal article Open Access

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

Davis, Dylan S.

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.

Files (351.1 kB)
Name Size
Davis_DAACH_2020_Preprint.pdf
md5:aa46393102dec0dca9e7bbd0f9369041
351.1 kB Download
33
45
views
downloads
Views 33
Downloads 45
Data volume 15.8 MB
Unique views 31
Unique downloads 45

Share

Cite as