This article analyzes the increasing articulation between third-party software and emergency infrastructures through a focus on the computer-assisted dispatch system RapidDeploy, which purports to help 9-1-1 responders more accurately and efficiently respond to emergency situations. We build from research that focuses on overlaps between surveillance and emergency response to demonstrate how large-scale data mining practices—in particular, location extraction—are repurposed as beneficial, if not life-saving, measures. In focusing on the capacity to extract and analyze location in the name of public good, we discursively analyze how RapidDeploy’s official company blog constructs the benevolence of data collection. We then demonstrate how these viewpoints are reproduced in the news reports in one city—Charleston, South Carolina—where RapidDeploy has formally partnered with emergency response services. This analysis is used to demonstrate how words like “data” and “cloud” continue to be used as vague buzzwords for companies situated at the intersections of surveillance and civic function, and to argue for greater attention to how the trend towards platformization continues to blur the relationships between surveillance and emergency response systems. This case study examines the public face of this company and, as such, analyzes the language used to gain public assent for the software and its function.

中文翻译：

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应急基础设施和位置提取：将计算机辅助调度系统作为公共产品存在问题

本文通过关注计算机辅助调度系统 RapidDeploy 来分析第三方软件与应急基础设施之间日益紧密的联系，该系统旨在帮助 9-1-1 响应者更准确、更有效地应对紧急情况。我们从关注监视和应急响应之间重叠的研究中构建，以证明大规模数据挖掘实践（特别是位置提取）如何被重新用作有益的（如果不是拯救生命的）措施。在关注以公益的名义提取和分析位置的能力时，我们对RapidDeploy的官方公司博客如何构建数据收集的仁慈进行了论述分析。然后，我们展示了这些观点是如何在一个城市——查尔斯顿的新闻报道中再现的，南卡罗来纳州——RapidDeploy 已正式与应急响应服务机构合作。该分析用于说明“数据”和“云”等词如何继续被用作位于监控和公民职能交叉点的公司的模糊流行语，并主张更多地关注平台化趋势如何继续模糊监视和应急响应系统之间的关系。本案例研究检查了这家公司的公众形象，并因此分析了用于获得公众对该软件及其功能的认可的语言。并主张更多地关注平台化趋势如何继续模糊监控和应急响应系统之间的关系。本案例研究检查了这家公司的公众形象，并因此分析了用于获得公众对该软件及其功能的认可的语言。并主张更多地关注平台化趋势如何继续模糊监控和应急响应系统之间的关系。本案例研究检查了这家公司的公众形象，并因此分析了用于获得公众对该软件及其功能的认可的语言。