Uncertain Archives

Critical Keywords for Big Data

Edited by Nanna Bonde Thylstrup, Daniela Agostinho, Annie Ring, Catherine D'Ignazio and Kristin Veel
Scholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability.
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Author(s)

Summary

Scholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability.

This groundbreaking work offers an interdisciplinary perspective on big data and the archives they accrue, interrogating key terms. Scholars from a range of disciplines analyze concepts relevant to critical studies of big data, arranged glossary style—from abuse and aggregate to visualization and vulnerability. They not only challenge conventional usage of such familiar terms as prediction and objectivity but also introduce such unfamiliar ones as overfitting and copynorm. The contributors include a broad range of leading and agenda-setting scholars, including as N. Katherine Hayles, Wendy Hui Kyong Chun, Johanna Drucker, Lisa Gitelman, Safiya Noble, Sarah T. Roberts and Nicole Starosielski.

Uncertainty is inherent to archival practices; the archive as a site of knowledge is fraught with unknowns, errors, and vulnerabilities that are present, and perhaps even amplified, in big data regimes. Bringing lessons from the study of the archive to bear on big data, the contributors consider the broader implications of big data's large-scale determination of knowledge.

Paperback

$55.00 X | £45.00 ISBN: 9780262539883 656 pp. | 7 in x 9 in 44 b&w illus.

Editors

Nanna Bonde Thylstrup

Nanna Bonde Thylstrup is Associate Professor at Copenhagen Business School and author of The Politics of Mass Digitization (MIT Press).

Daniela Agostinho

Daniela Agostinho is postdoctoral fellow in the Department of Arts and Cultural Studies at the University of Copenhagen.

Annie Ring

Annie Ring is Lecturer in the Faculty of Arts & Humanities at University College London.

Catherine D'Ignazio

Catherine D'Ignazio is Assistant Professor of Urban Science and Planning at MIT and coauthor of Data Feminism (MIT Press).

Kristin Veel

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).