Drone

Lila Lee-Morrison

Drone

Lila Lee-Morrison

Lund University

Publikation: Kapitel i bog/rapport/konference-proceeding › Kapitel i bog › Forskning › peer review

Abstract

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.

Originalsprog	Engelsk
Titel	Uncertain Archives : Critical Terms in Big Data
Redaktører	Nanna Thylstrup, Daniela Agostinho, Annie Ring, Catherine D'lgnazio, Kristin Veel
Antal sider	10
Forlag	MIT Press
Publikationsdato	2020
Sider	179-189
Kapitel	17
ISBN (Trykt)	9780262539883
Status	Udgivet - 2020
Udgivet eksternt	Ja

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1 Gæsteforelæsning, undervisning og kursusvirksomhed ved andre universiteter

Seminar in Course: Ethics in Drone and Robotic Systems Design
Lee-Morrison, L. (Underviser)
30. nov. 2021
Aktivitet: Foredrag og mundtlige bidrag › Gæsteforelæsning, undervisning og kursusvirksomhed ved andre universiteter

Citationsformater

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KW - UAV

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A2 - Agostinho, Daniela

A2 - Ring, Annie

A2 - D'lgnazio, Catherine

A2 - Veel, Kristin

PB - MIT Press

ER -

Drone

Abstract

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Relaterede aktiviteter

Seminar in Course: Ethics in Drone and Robotic Systems Design

Citationsformater