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Article ID: CBB385197379

Remote Split: A History of US Drone Operations and the Distributed Labor of War (November 2017)

Science, Technology, and Human Values
Volume: 42
Issue: 6
Pages: 1100-1131
Publication date: November 2017
Language: English

DOI: 10.1177/0162243917731523

Publication Date: November 2017
Edition Details: Special Issue: Tracking and Targeting: Sociotechnologies of (In)security

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Military technology Drones (aircraft) Command and Control Systems Division of Labor Surveillance Strategy, military 20th century United States United States Air Force (USAF)

This article analyzes US drone operations through a historical and ethnographic analysis of the remote split paradigm used by the US Air Force. Remote split refers to the globally distributed command and control of drone operations and entails a network of human operators and analysts in the Middle East, Europe, and Southeast Asia as well as in the continental United States. Though often viewed as a teleological progression of “unmanned” warfare, this paper argues that historically specific technopolitical logics establish the conditions of possibility for the work of war to be divisible into discreet and computationally mediated tasks that are viewed as effective in US military engagements. To do so, the article traces how new forms of authorized evidence and expertise have shaped developments in military operations and command and control priorities from the Cold War and the “electronic battlefield” of Vietnam through the Gulf War and the conflict in the Balkans to contemporary deployments of drone operations. The article concludes by suggesting that it is by paying attention to divisions of labor and human–machine configurations that we can begin to understand the everyday and often invisible structures that sustain perpetual war as a military strategy of the United States.

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Article Lucy Suchman; Karolina Follis; Jutta Weber (November 2017) Tracking and Targeting: Sociotechnologies of (In)security: (Introduction). Science, Technology, and Human Values (pp. 983-1002). unapi

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