Data Derivatives On the Emergence of a Security Risk Calculus for Our Times
Data Derivatives On the Emergence of a Security Risk Calculus for Our Times
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DOI：
10.1177/0263276411417430
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发表时间：
2011-11-01
影响因子：
1.7
通讯作者：
Amoore, Louise
中科院分区：
文献类型：
--
作者：
Amoore, Louise
在伦敦一间安静的办公室里，一位软件设计师正在思考一种算法，这种算法将使风险标志在从希思罗机场到圣潘克拉斯国际机场的边防警卫的屏幕上可视化成为可能。他说，有“真实的时间决策”--拘留、驱逐出境、次要询问或搜查--但也有“运行分析并制定最佳规则集的离线团队”。编写代码，将决定数据项之间的关联规则，propionary和世俗-飞行路线，支付类型，护照-分析师得出一个新的先发制人的安全措施。本文提出了数据衍生物的分析-从数据的分类片段的混合中提取的可视化风险标志或分数，从数据之间的差距中推断出来，并投射到一系列不确定的未来。与收集数据来管理人口的学科和封闭技术相反，数据衍生函数通过“正常的微分曲线”，通过关联规则想象一系列潜在的未来，从而“开放让事情发生”（Foucault 2007）。从某种意义上说，类似于金融衍生品的风险取向，由于调整的规范，它本身对实际的潜在人物、地点或事件漠不关心，当代证券衍生品的中心不是我们是谁，甚至不是我们的数据对我们说了什么，而是我们可能是谁的想象和推断--我们的倾向和潜力。
In a quiet London office, a software designer muses on the algorithms that will make possible the risk flags to be visualized on the screens of border guards from Heathrow to St Pancras International. There is, he says, 'real time decision making' - to detain, to deport, to secondarily question or search - but there is also the 'offline team who run the analytics and work out the best set of rules'. Writing the code that will decide the association rules between items of data, prosaic and mundane - flight route, payment type, passport - the analysts derive a novel preemptive security measure. This paper proposes the analytic of the data derivative - a visualized risk flag or score drawn from an amalgam of disaggregated fragments of data, inferred from across the gaps between data and projected onto an array of uncertain futures. In contrast to disciplinary and enclosed techniques of collecting data to govern population, the data derivative functions via 'differential curves of normality', imagining a range of potential futures through the association rule, thus 'opening up to let things happen' (Foucault 2007). In some senses akin to the risk orientation of the financial derivative, itself indifferent to actual underlying people, places or events by virtue of modulated norms, the contemporary security derivative is not centred on who we are, nor even on what our data say about us, but on what can be imagined and inferred about who we might be - on our very proclivities and potentialities.