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Making Data Fit: What Digital Repackaging Can Do for the Humanities

In recent years, digital humanists have been at the forefront of challenging data’s supposed neutrality.  Lisa Gitelman and Virginia Jackson have suggested that the discourse of objectivity that often surrounds conversations about data-drive research is not only reductive, but also unlikely to encourage future scholarship and more rigorous debate.  They suggest instead that data beContinue reading “Making Data Fit: What Digital Repackaging Can Do for the Humanities”

When Dance Making Goes Digital

Arianna here! I’m another one of the summer fellows working in the Digital Scholarship and Publishing Studio. I’m also a dancer! I’m currently working towards finishing my MFA in Dance Performance this spring. During my first couple weeks in the studio I’ve been exploring some digital media components to incorporate into my dance performance, includingContinue reading “When Dance Making Goes Digital”

As You Wish: An Honest Summary of My Summer Work So Far. . .

I have been tasked with writing an engaging and honest blog about my work as one of the Digital Scholarship and Publishing Studio fellows but I have a problem. I rarely use the adjective “engaging” to describe my writing. I have, I think, managed to find a creative solution to this particular conundrum. Using somethingContinue reading “As You Wish: An Honest Summary of My Summer Work So Far. . .”

Neural Network Poetry

As you may know, April is national poetry month, an annual series of events by the Academy of American Poets to help support the appreciation of American poetry. If you’re looking for great book-length collections of poems, you might be interested in the Iowa Poetry Prize winners. Many of the previous years’ winners are madeContinue reading “Neural Network Poetry”

Subreddit Algebra

Yesterday, FiveThirtyEight featured a fantastic article by Trevor Martin, a Ph.D student in Computational Biology at Stanford University. Martin’s piece, Dissecting Trump’s Most Rabid Online Following, looked at the toxic communities surrounding Donald Trump, notably r/The_Donald, by using a machine learning technique called latent semantic analysis. LSA uses words and concepts from two sets of documentsContinue reading “Subreddit Algebra”