Policing, particularly in the United States, is being progressively datafied. This process has a historical trajectory that is crucial to the analysis and critique of new platform-based security architectures. Predictive policing has already attracted considerable attention, partially due to its seemingly novel fusion of predictive analytics and police work. Hyperbolic early claims—often mobilizing science fiction imagery—that the future could, in fact, be predicted, pointed towards utopic/dystopic imaginaries of seamlessly integrated control. Predictive policing is, however, increasingly only one component of cloud-based data systems that are coursing through police activity. The imaginary of these transformations can be analysed through the security imaginary of policing as a process of real-time data transmission, perpetually self-adjusting and self-augmenting through machine calculation. The historical contextualization of this imaginary suggests useful vectors of inquiry that position platform policing squarely within the mechanisms of contemporary capitalism.

中文翻译：

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平台警务和实时警察

警务，尤其是在美国，正在逐步进行数据化。此过程的历史轨迹对于分析和批判基于平台的新安全体系结构至关重要。预测性警务已经引起了相当大的关注，部分原因是其将预测性分析和警察工作看似新颖地融合在一起。双曲线的早期主张（通常是动员科幻影像）声称实际上可以预见未来，它指向无缝集成控制的上位/下位虚构。但是，预测性警务正日益成为通过警察活动进行监控的基于云的数据系统的一个组成部分。可以通过治安的安全性假想来分析这些转换的虚构，将其作为实时数据传输的过程，通过机器计算永久性地进行自我调整和自我增强。该假想的历史语境化提出了有用的探究载体，它们在现代资本主义机制内正视治安平台。