Machine Learning, Libraries, and Cross-Disciplinary Research Possibilities and Provocations |
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General Editor:
| Johnson, Daniel |
Editor:
| Brower, Donald Papson, Alex Dehmlow, Mark Morgan, Eric Wang, John |
Author:
| Morgan, Eric Hintze, Arend Schossau, Jorden Harper, Charlie Plumb, Marisa Janco, Andrew Wiegand, Sue Jiang, Meng Kim, Bohyun Altman, Audrey Lesk, Michael Prud'homme, Max Cohen, Jason Nakazawa, Mario Lucic, Ana Shanahan, John Hansen, Samuel |
ISBN: | 978-0-578-88153-9 |
Publication Date: | Dec 2020 |
Publisher: | Hesburgh Libraries, University of Notre Dame
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Book Format: | Ebook |
List Price: | USD $0.00 |
Book Description:
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This collection of essays is the unexpected culmination of a 2018-2020 grant from the Institute of Museum and Library Services to the Hesburgh Libraries at the University of Notre Dame. The plan called for a survey and a series of workshops hosted across the country to explore, originally, "the national need for library based topic modeling tools in support of cross-disciplinary discovery systems." As the project developed, however, it became apparent that the scope of re- search...
More DescriptionThis collection of essays is the unexpected culmination of a 2018-2020 grant from the Institute of Museum and Library Services to the Hesburgh Libraries at the University of Notre Dame. The plan called for a survey and a series of workshops hosted across the country to explore, originally, "the national need for library based topic modeling tools in support of cross-disciplinary discovery systems." As the project developed, however, it became apparent that the scope of re- search should expand beyond topic modeling and that the scope of output might expand beyond a white paper. The end of the 2010s, we found, was swelling with library-centered investigations of broader machine learning applications across the disciplines, and our workshops demonstrated such a compelling mixture of perspectives on this development that we felt an edited collection of essays from our participants would be an essential witness to the moment in history. DOI: 10.7274/r0-wxg0-pe06