Give Me a Database and I Will Raise the Nation-State

Give Me a Database and I Will Raise the Nation-State
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给我一个数据库,我将建立民族国家

DOI:
10.1080/00856401.2019.1602810
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发表时间:
2019
期刊:
South Asia: Journal of South Asian Studies
影响因子:
--
通讯作者:
Singh, Ranjit
Singh, Ranjit
中科院分区:
--
文献类型:
--
作者:
Singh, Ranjit

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本文利用对 Aadhaar(印度基于生物识别技术的国家身份识别基础设施)的人种学研究,调查其设计团队成员如何概念化和理解他们为印度居民分配唯一号码的技术官僚企业。成员们用建造沙漏的比喻来描述他们的工作:Aadhaar 号码及其身份验证服务构成了沙漏的腰部;以下是生物识别设备的创新,以上是需要身份验证服务的应用程序。他们相信维持 Aadhaar 的整个生态系统可以通过规定腰部与上方和下方组件之间的相互作用来控制。他们扩展了这个比喻,将印度政府重新构想为一个服务平台,仅控制服务的特定部分(腰部),同时通过将其与上下其他市场服务整合来打开创新空间。本文记录了这种想象中的“平台化”政府的出现,该政府收集实时公民数据以支持个性化的国家与公民互动,从而揭示印度政府服务的未来如何塑造以及由其塑造。这样的未来将印度人口视为数据库,将官僚机构视为集中仪表板,将政府视为公民数据流通的仲裁者。
This paper draws on an ethnographic study of Aadhaar, India’s biometrics-based national identification infrastructure, to investigate how members of its design team conceptualised and understood their techno-bureaucratic enterprise of assigning unique numbers to Indian residents. Members described their work using the metaphor of building an hour-glass: the Aadhaar number and its authentication services constitute the waist of this hour-glass; below were innovations in biometric devices and above were applications requiring identity verification services. They believed the entire ecosystem sustaining Aadhaar could be controlled by prescribing interactions between the waist and the components above and below. They extended this metaphor to reimagine the Indian government as a platform of services controlling only a specific part of a service—the waist—while opening space for innovation by integrating it with other market services above and below. This paper documents the emergence of this imaginary of ‘platformised’ government collecting real-time citizen data to support personalised state–citizen interactions to unpack how the future(s) of Indian government services shapes and is shaped by it. Such future(s) constitute the Indian population as a database, bureaucracies as centralised dashboards, and government as arbiter in the circulation of citizen data.
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