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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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).
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : Very Good. 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. N° de réf. du vendeur CIN0262539888VG
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