Abstract
In this chapter, we will use actor-network theory to describe a decentralized, heterogeneous storm-spotting and storm-chasing network in the United States, which connects human-sensor observations in the field with operational meteorologists in the center of calculation and with television media as the recipients and public distributors of official severe-weather watches and warnings. In the first section, we present actor-network theory as a conceptual framework for describing the co-construction of society and technology and the centering processes associated with scientific laboratories and government agencies. In the second section, we demonstrate the use of actor-network theory (ANT) through a descriptive case study of the storm-spotter and storm-chaser network, which encompasses both decentralized and centralized processes. Finally, we analyze the centering processes that the National Weather Service (NWS) uses to mobilize, stabilize, and combine VGI storm reports with their existing technologies.
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Palmer, M.H., Kraushaar, S. (2013). Volunteered Geographic Information, Actor-Network Theory, and Severe-Storm Reports. In: Sui, D., Elwood, S., Goodchild, M. (eds) Crowdsourcing Geographic Knowledge. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4587-2_16
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DOI: https://doi.org/10.1007/978-94-007-4587-2_16
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