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DH Workshop Series: LiteraryDJ with Andrew W. Smith
Johns Hopkins University
LiteraryDJ scholarship, talks, courses, and workshops.
Browse highlighted research and creative work that documents how LiteraryDJ is used and taught.
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Johns Hopkins University
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University of Maryland College Park
A course that offered undergraduate students at UMD the opportunity to work directly on a self-directed project within the LiteraryDJ ecosystem.
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University of Maryland College Park
A course that offered undergraduate students at UMD the opportunity to work directly on a self-directed project within the LiteraryDJ ecosystem.
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Michigan Quarterly Review
A narrative collage walking the reader through a quantum computing simulation on a selection of music lyrics and excerpts of literature. This is one of the earliest results of LiteraryDJ's forays into quantum computing and our research into applications of quantum computing to artistic and creative work.
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The New River: Journal of Art and Literature
An experiment with Markov chains to produce interactive poetry blending the text of multiple writers exploring the idea of history repeating itself. This work is one of the earliest results of LiteraryDJ's exploration of the application of remixed datasets to scholarly and creative practice.
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MITH Digital Dialogues
Andrew W. Smith, Creative Director of LiteraryDJ, was invited to speak at MITH's Digital Dialogues series at the University of Maryland on what quantum computing can offer creative writing and the arts. The talk walked through a poetry system built in IBM's Qiskit, where every word is a quantum state and gates decide which words surface and how they relate.
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African American Public Humanities Initiative at University of Delaware.
LiteraryDJ was one of three digital humanities projects presented at the African American Public Humanities Initiative at the University of Delaware.
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If, Then: Technology and Poetics
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Viz UMD
An essay on visualizing remix practice and Hip hop lyric data, published in VisUMD in 2020. This is the first time moment where elements of LiteraryDJ was shared with the public.
Research_Mix.m3u
9 tracks
Nothing in this crate yet.Know of something that belongs here?
If LiteraryDJ's datasets, tools, or visualizations have found their way into your research, teaching, or creative practice, we'd love to hear about it. Tell us about the project and whatever came out of it — papers, artworks, talks, syllabi, performances — and we'd be glad to add it to this playlist.
Works in progress welcome.