NordForsk Digitalisation of the Public Sector - Critical Understanding of Predictive Policing

NordForsk 公共部门数字化 - 对预测性警务的批判性理解

• 批准号: ES/V009338/1
• 负责人: Antonis Vradis
• 金额: $ 23.32万
• 依托单位: University of St Andrews
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FV009338%2F1
• 关键词: NordForsk; Digitalisation; Public; Sector; Critical

The Nordic-Baltic countries and the UK are not only considered leaders in the digitalization of the public sector, but they have also established long-term cooperation in regards to law enforcement. At the same time, law enforcement constitutes an important institution of the public sector that is currently going through a gradual transformation by applying digital strategies to improve its efficiency and effectiveness to predict events and automate work in crime deduction in several countries. The use of data driven innovations in police work has raised considerable attention in policy, media, legal, and academic debates. However, these debates are largely speculative, focusing on the potentials of new forms of police work. We actually know very little about how big data is adopted and adapted in law enforcement activities and to what consequence. Moreover, the proliferation of data analytics brings into question how citizens' rights are being protected as what counts as 'safety' or 'policing' is being fundamentally transformed. The aim of Critical Understanding of Predictive Policing is to investigate how institutional and social values, digital affordances, and organizational politics are conceived and embedded in data-driven police innovations, as well as experienced and practiced by police officers and developers of digital police infrastructure in Denmark, Estonia, Latvia, Norway, Sweden and the UK. The CUPP project will apply an interdisciplinary framework at the intersection of Science and Technology Studies (STS), Critical Criminology, and Critical Big Data Studies to identify and explore the related effects and impact of data driven police technologies on society and end-users. CUPP will apply a three-phase methodological approach consisting of recent historiography, fieldwork and interviews, and collaborative interventionist analysis. The research team will generate vital new insights about how law enforcement is conceived and practiced in the digitalized state, as well as how public participation and scrutiny is ensured in the procurement, implementation and use of digital infrastructures. Additionally, the research will shed light on what values and politics are inscribed within digital solutions.

北欧-波罗的海国家和英国不仅被认为是公共部门数字化的领导者，而且还在执法方面建立了长期合作。与此同时，执法部门是公共部门的一个重要机构，目前正在通过应用数字战略来逐步转型，以提高其预测事件的效率和有效性，并在几个国家实现犯罪推断工作的自动化。在警务工作中使用数据驱动的创新引起了政策、媒体、法律的和学术辩论的极大关注。然而，这些辩论在很大程度上是投机性的，侧重于新形式的警察工作的潜力。事实上，我们对大数据如何在执法活动中被采用和调整以及会产生什么后果知之甚少。此外，数据分析的激增也带来了如何保护公民权利的问题，因为什么是“安全”或“警务”正在从根本上改变。预测性警务的批判性理解的目的是调查机构和社会价值，数字启示和组织政治是如何构思和嵌入数据驱动的警务创新，以及经验和实践的警官和数字警察基础设施的开发人员在丹麦，爱沙尼亚，拉脱维亚，挪威，瑞典和英国。CUPP项目将在科学和技术研究（STS），关键犯罪学和关键大数据研究的交叉点应用跨学科框架，以确定和探索数据驱动的警务技术对社会和最终用户的相关影响和影响。CUPP将采用三阶段的方法，包括最近的史学，实地考察和访谈，以及合作干预分析。该研究团队将对如何在数字化状态下构思和实施执法，以及如何在数字基础设施的采购、实施和使用中确保公众参与和监督产生重要的新见解。此外，这项研究还将揭示数字解决方案中包含的价值观和政治。

项目成果

We Will Always Be Better Than a Spreadsheet Intelligence Logic and Crime Prevention in Practice

我们在实践中永远比电子表格情报逻辑和犯罪预防更好

• DOI: 10.5553/ejps/2034760x2022001009
• 发表时间: 2023
• 期刊: European Journal of Policing Studies
• 作者: Gundhus H

Questioning the EU proposal for an Artificial Intelligence Act: The need for prohibitions and a stricter approach to biometric surveillance1

质疑欧盟人工智能法案提案：需要禁止和更严格的生物识别监控方法1

• DOI: 10.3233/ip-211524
• 发表时间: 2022
• 期刊: Information Polity
• 影响因子: 2
• 作者: Barkane I