Data Derivatives
Data Derivatives
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数据衍生品
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Louise Amoore
中科院分区：
文献类型：
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作者：
Louise Amoore
在伦敦一间安静的办公室里，一名软件设计师沉思着一种算法，这种算法将使从希思罗机场到圣潘克拉斯国际机场的边境警卫的屏幕上显示出危险标志成为可能。他说，有“实时决策”——拘留、驱逐、二次询问或搜查——但也有“离线团队进行分析并制定出最佳规则”。通过编写决定数据项之间关联规则的代码，无论这些数据项是普通的还是普通的——航班路线、付款类型、护照——分析人员推导出了一种新颖的先发制人的安全措施。本文提出了对数据衍生的分析-从数据碎片的混合物中提取的可视化风险标志或分数，从数据之间的间隙推断并投射到一系列不确定的未来。与收集数据以治理人口的学科和封闭技术相比，数据衍生函数通过“正态性的微分曲线”，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”（福柯2007）。在某种意义上，与金融衍生品的风险取向类似，由于规范的调整，金融衍生品本身对实际的潜在人物、地点或事件漠不关心，当代安全衍生品的中心不在于我们是谁，甚至不在于我们的数据对我们的描述，而是在于我们可能是谁的想象和推断——即我们的倾向和潜力。
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.