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Crash Theory

Entrapments of Conservation Drones and Endangered Megafauna

Bibliographic Data

ID5337385
AuthorsAdam Fish (0000-0001-5724-635X, corresponding author)
Year2021
Volume46
Issue2
Pages425-451
Publication date2021-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueScience Technology & Human Values (JOURNAL)
Journal identifiersISSN: 0162-2439 • E-ISSN: 1552-8251
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0162243920920356
OpenAlexW3022521393
LanguageEN
Citations received8
References cited34

Drones deployed to monitor endangered species often crash. These crashes teach us that using drones for conservation is a contingent practice ensnaring humans, technologies, and animals. This article advances a crash theory in which pilots, conservation drones, and endangered megafauna are relata, or related actants, that intra-act, cocreating each other and a mutually constituted phenomena. These phenomena are entangled, with either reciprocal dependencies or erosive entrapments. The crashing of conservation drones and endangered species requires an ethics of care, repair, or reworlding. Diffractions, disruptions that expose difference, result from crashes and reveal the precarious manner by which technologies, laws, and discourses bring nature and culture together. To support crash theory, this article presents three ethnographic cases. A drone crash in the United Kingdom near white rhinoceroses while building machine learning training data exhibits the involvement of the electromagnetic spectrum; the threat of crashes in the Pacific Northwest near Puget Sound orcas discloses the impacts of drone laws; and drone crashes in Sri Lanka among Asian elephants presents the problems of technoliberal ideals around programming natural worlds. Throughout the article, a methodology is developed, parallelism, which attends to the material similarities in lateral phenomena

Archaeology · Biology · Computer security · Crash · Drone · Endangered species · Geography · Habitat · Megafauna · Anthropological Studies and Insights · Computer Science · Geographies of human-animal interactions · Wildlife Ecology and Conservation · Ecology

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Unique citing works8
Citations per year2
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 8

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