Commentary
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This piece explores digitized map collections by their text content.
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We summarize the results of "The Humanities in Public" and provide a reframing of advocacy for the humanities based on this research.
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While earlier computational approaches focused on narrow and inflexible grammar and syntax, these new Transformer models offer us novel insights into the way language and literature work.
This essay is the first in a two-part series. This installment invites readers to consider a few very basic questions: what does it mean to count words in a text?
At the center of Nan Z. Da's article is the claim that quantitative methods cannot produce any useful insights with respect to literary texts.
The publication of Nan Z. Da's study in Critical Inquiry has triggered a debate about the methodological and conceptual dimensions of digitally assisted inquiry in literary studies.
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The ambition of scholarship in the humanities is to systematically understand the human condition in all its aspects and times.
In November 2012, the newly created Open Science Collaboration published a brief article announcing a multi-year effort to "estimate the reproducibility of psychological science."
A considerable amount of work has been produced in quantitative fields addressing what has colloquially been called the "replication crisis."
The very idea of a "canonical data set" implies a whole organization of knowledge.
In digital analysis we create more data than we can ever fully use and therefore understand.