WE1S Methods

WE1S uses digital humanities methods to conduct its research on large numbers of media and other documents mentioning the humanities--"DH" methods that in turn draw on computer science, information science, machine learning, text analysis, visualization, and other methods mentioned in our Bibliography. (Many of our visualization methods and tools were created by our Interpretation Lab.) We've created explanation "cards" in plain language for many of these methods, each of which includes links to further information. [Cards on this page are under construction.]
WE1S Methods (M-1)
WE1S documentation “cards” communicate project materials, methods, findings, and recommendations clearly and in bite-sized chunks.
thumbnail of M-1 (Cards)
WE1S Methods (M-2)
"Topic modeling” is WE1S’s main method for studying collections of documents at big data scale.
thumbnail of M-2 (Topic modeling)
WE1S Methods (M-3)
WE1S pioneers an “interpretation protocol” for guiding how humans learn from machine learning.
thumbnail of M-3 (Interpretation Protocol)
WE1S Methods (M-4)
Back to Basics: Constructivist "Grounded Theory" and Hand-Coding as Human-Scale Topic Modeling
thumbnail of M-4 (Grounded Theory)
WE1S Methods (M-5)
"Research-to-Action Toolkits" engage audiences as active participants by modelling an open and flexible workflow between the Digital Humanities and the Public Humanities.
thumbnail of M-5 (Research-to-Action Toolkits)
WE1S Methods (M-)
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WE1S Methods (M-)
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WE1S Methods (M-)
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WE1S Methods (M-)
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