Policy Mobilities, Infrastructures, and Nonhuman Political Agency

动性 代理(哲学) 奖学金 政治 社会学 参与者-网络理论 政治学 位于 社会科学 法学 计算机科学 人工智能
作者
John Connors,Anne G. Short Gianotti,Robert M. Anderson
出处
期刊:Annals of the American Association of Geographers [Taylor & Francis]
卷期号:114 (8): 1877-1887 被引量:1
标识
DOI:10.1080/24694452.2023.2271554
摘要

Policy mobilities research has explored how policies—particularly urban development policies—spread among sites around the world, mutate along the way, and take hold in distinct contexts. Within the policy mobilities literature, there is particular attention to circulatory infrastructures, which facilitate encounters, learning, and exchange of knowledge that support the (re)production and movement of policies and “best practices.” Policy mobilities scholarship thus understands policy implementation as emerging from relational assemblages of myriad actors and social processes. Drawing on assemblage theory, this work has been attentive to nonhuman objects and infrastructures, nonetheless it has given little attention to nonhuman life. This article draws on more-than-human geographies, particularly emerging work on nonhuman life and infrastructures, to incorporate nonhuman actors into an understanding of policy mobilization. We present a case study of suburban wildlife management programs in Massachusetts and discuss how human–nonhuman relationships undergird policy development, transfer, and change. Drawing insights from municipal surveys, in-depth interviews, and document analysis, we argue that nonhumans are active in the production of policy assemblages and the mobility of environmental policies. Deer, in particular, are lively actors entangled in the circulation of policies designed to manage social-ecological dynamics and processes that also include ticks, forests, bacteria, and many other nonhuman agents. Through this intervention to situate nonhuman life in policy mobilities, we highlight the political agency of nonhuman actors, the materialities of policy mobilization, and the role of nonhumans in shaping relational networks.
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