作为流行病技术的测试数据库:对印度新冠肺炎应对措施的思考

Sreya Dutta Chowdhury, R. Basu
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摘要

本文考察了印度的COVID-19应对措施,认为它作为一种新兴的治理技术,深深融入了“数据库”的动态。数据库旨在将整个人口转化为从社会身份和地方特征中抽象出来的信息单位。在冠状病毒大流行的背景下,官僚国家系统试图通过数据库整理全国各地的检测数据来管理和应对卫生危机。针对新冠肺炎检测数据库问题,深入研究数据库治理逻辑。我们发现,作为一种治理工具,数据库在试图将复杂的身份和位置压缩为非上下文化的信息单元时步履维艰。由于生活现实的复杂性打断了数据库的逻辑,国家对数据库管理中的“意外后果”、“泄漏”、“重复”和“和解”过程的论述比比皆是,数据库的矛盾心理在COVID-19应对中表现出来。在本文中,我们使用辅助数据来了解测试数据库如何干预并与复杂的现实相互作用,以建立围绕流行病的官僚秩序。我们认为,COVID-19检测数据库应被理解为嵌入新兴的数据库政府,以数据库维护取代对人口的照顾。
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The Testing Database as Pandemic Technology: Reflections on the COVID-19 Response in India
This article examines the COVID-19 response in India, viewing it as deeply enmeshed in the dynamics of the ‘database’ as an emerging technology of governmentality. Databases aim to translate entire populations into units of information abstracted from social identities and local specificities. In the context of the coronavirus pandemic, bureaucratic state systems attempt to manage and respond to the health crisis via databases collating testing data across the country. Problematising COVID-19 testing databases, we delve into the logic of database governance. We find that as a tool of governance the database falters in its attempts to compress complex identities and locations into de-contextualised units of information. As the complexity of lived reality interrupts the logic of databasing, state discourse on ‘unintended consequences’, ‘leakages’, ‘duplication’, and ‘reconciliation’ processes in the management of databases abounds and the ambivalence of databases becomes manifest in the COVID-19 response. In this article, we use secondary data to understand how testing databases intervene and interact with complex realities to establish bureaucratic order around a pandemic. We posit that COVID-19 testing databases should be understood as being embedded in emerging database governmentalities that supplant care of the population with the maintenance of databases.
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