Uncertain Archives: Critical Keywords for Big Data. Questo articolo non è disponibile.
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Lingua: inglese
Editore: The MIT Press, 2021
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Brossura
Condizione: Usato - Molto buono
EUR 41,83
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Very Good Condition - May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting.
Codice articolo MIT-PB-VG-0262539888
- Titolo
- Uncertain Archives: Critical Keywords for Big Data
- Editore
- The MIT Press
- Anno di pubblicazione
- 2021
- Condizione
- Very Good
- Rilegatura
- paperback
- Lingua
- inglese
- ISBN 10
- 0262539888
- ISBN 13
- 9780262539883
Scholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability.
This pathbreaking work offers an interdisciplinary perspective on big data, interrogating key terms. Scholars from a range of disciplines interrogate concepts relevant to critical studies of big data--arranged glossary style, from from abuse and aggregate to visualization and vulnerability--both challenging conventional usage of such often-used terms as prediction and objectivity and introducing such unfamiliar ones as overfitting and copynorm. The contributors include both leading researchers, including N. Katherine Hayles, Johanna Drucker and Lisa Gitelman, and such emerging agenda-setting scholars as Safiya Noble, Sarah T. Roberts and Nicole Starosielski.
This pathbreaking work offers an interdisciplinary perspective on big data, interrogating key terms. Scholars from a range of disciplines interrogate concepts relevant to critical studies of big data--arranged glossary style, from from abuse and aggregate to visualization and vulnerability--both challenging conventional usage of such often-used terms as prediction and objectivity and introducing such unfamiliar ones as overfitting and copynorm. The contributors include both leading researchers, including N. Katherine Hayles, Johanna Drucker and Lisa Gitelman, and such emerging agenda-setting scholars as Safiya Noble, Sarah T. Roberts and Nicole Starosielski.
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Informazioni sull’autore
Nanna Bonde Thylstrup is Associate Professor at Copenhagen Business School and author of The Politics of Mass Digitization (MIT Press).Daniela Agostinho is postdoctoral fellow in the Department of Arts and Cultural Studies at the University of Copenhagen.Annie Ring is Associate Professor in the School of European Languages, Culture, and Society at University College London, and author of After the Stasi. Catherine D'Ignazio is Assistant Professor of Data Visualization and Civic Media at Emerson College and coauthor of Data Feminism (MIT Press). Kristin Veel is Associate Professor at the Department for Arts and Cultural Studies at the University of Copenhagen and coauthor of Tower to Tower (MIT Press).
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