Imaginaries of better administration: Renegotiating the relationship between citizens and digital public power

IF 6.5 1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
Terhi Esko, Riikka Koulu
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引用次数: 0

Abstract

This article investigates future visions of digital public administration as they appear within a particular regulatory process that aims to enable automated decision-making (ADM) in public administration in Finland. By drawing on science and technology studies, public administration studies, and socio-legal studies we analyze law in the making and identify four imaginaries of public digital administration: understandable administration, self-monitoring administration, adaptive administration, and responsible administration. We argue that digital administration is seen from the perspective of public authorities serving their current needs of legitimizing existing automation practices. While technology is pictured as unproblematic, the citizen perspective is missing. We conclude that the absence of an in-depth understanding of the diverse needs of citizens raises the question whether the relationship between public power and citizens is becoming a one-way street despite of the public administration ideals that express values of citizen engagement.
更好管理的想象:重新协商公民与数字公共权力之间的关系
本文调查了数字公共行政的未来愿景,因为它们出现在一个特定的监管过程中,旨在实现芬兰公共行政的自动化决策(ADM)。通过借鉴科学技术研究、公共行政研究和社会法律研究,我们分析了制定中的法律,并确定了公共数字行政的四个设想:可理解的行政、自我监督的行政、适应性行政和负责任的行政。我们认为,数字管理是从公共当局的角度来看待的,公共当局为其当前的需求服务,使现有的自动化实践合法化。虽然技术被认为是没有问题的,但公民的视角却缺失了。我们得出的结论是,对公民的不同需求缺乏深入了解,这引发了一个问题,即尽管公共行政理想表达了公民参与的价值观,但公共权力和公民之间的关系是否正在成为一条单行道。
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来源期刊
Big Data & Society
Big Data & Society SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
10.90
自引率
10.60%
发文量
59
审稿时长
11 weeks
期刊介绍: Big Data & Society (BD&S) is an open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities, and computing and their intersections with the arts and natural sciences. The journal focuses on the implications of Big Data for societies and aims to connect debates about Big Data practices and their effects on various sectors such as academia, social life, industry, business, and government. BD&S considers Big Data as an emerging field of practices, not solely defined by but generative of unique data qualities such as high volume, granularity, data linking, and mining. The journal pays attention to digital content generated both online and offline, encompassing social media, search engines, closed networks (e.g., commercial or government transactions), and open networks like digital archives, open government, and crowdsourced data. Rather than providing a fixed definition of Big Data, BD&S encourages interdisciplinary inquiries, debates, and studies on various topics and themes related to Big Data practices. BD&S seeks contributions that analyze Big Data practices, involve empirical engagements and experiments with innovative methods, and reflect on the consequences of these practices for the representation, realization, and governance of societies. As a digital-only journal, BD&S's platform can accommodate multimedia formats such as complex images, dynamic visualizations, videos, and audio content. The contents of the journal encompass peer-reviewed research articles, colloquia, bookcasts, think pieces, state-of-the-art methods, and work by early career researchers.
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