Understanding data professionals in the police
A qualitative study of system-level bureaucrats
Bibliographic Data
| ID | 21723522 |
|---|---|
| Authors | Isabelle Fest (Utrecht University School of Governance, Utrecht University, Utrecht, The Netherlands, corresponding author), Mirko Tobias Schäfer (0000-0003-0212-7016, Utrecht University), Mirko Schäfer (Utrecht University), José Van Dijck (0000-0003-0499-9045, Utrecht University), Albert Meijer (0009-0004-3329-9624, Utrecht University), Albert J Meijer (0000-0001-8532-7894, Utrecht University School of Governance, Utrecht University, Utrecht, The Netherlands) |
| Year | 2023 |
| Volume | 25 |
| Issue | 9 |
| Pages | 1664-1684 |
| Publication date | 2023-09-02 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Public Management Review (JOURNAL) |
| Journal identifiers | ISSN: 1471-9037 • E-ISSN: 1471-9045 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/14719037.2023.2222734 |
| OpenAlex | W4380996591 |
| Language | EN |
| Citations received | 10 |
| References cited | 59 |
Through the introduction of algorithmic systems into police organizations, a new employee emerged: the data professional. Contrary to street-level officers, little is known of the discretionary power of these system-level bureaucrats. Our qualitative research into the Netherlands Police provides a first empirical and theoretical understanding. The study shows that data professionals exert discretion and are aware of public values, but their value-sensitivity often does not translate into responsible practices. Data professionals use a variety of arguments to dissociate themselves from, or downplay, their responsibilities. We conclude that this distancing hampers the connection between the discretion and responsibility of data professionals
Business · Discretion · Distancing · Empirical research · Political science · Public relations · Qualitative property · Qualitative research · Social science · Sociology · Computer Science · Ethics and Social Impacts of AI · Law · Policing Practices and Perceptions · Privacy, Security, and Data Protection
Organizing for Responsible Algorithmization
Algorithms for a new season? Mapping a decade of research on the artificial intelligence-driven digital transformation of public administration
Insights into public management from policing
Data in Policing
Data procurement and market power in the Dutch public sector
Automating street‐level discretion
Public Encounters and Government Chatbots
How Public Officials Perceive Algorithmic Discretion
Inside the digital state
Research on digital discretion-The subjectification of street-level work in public administration
Learning From Strangers
The Platform Society
Policy Implementation, Street-level Bureaucracy, and the Importance of Discretion
Governing digital societies
The Relevance of Algorithms
Street-Level Bureaucracy and E-Government
Automated Discretion
The Technological Game
Ethical Implications and Accountability of Algorithms
Ethics and Privacy in AI and Big Data
Governing after crisis
Interpretive Research Design
Automation and discretion
Learning how to do AI
Data Ethics Decision Aid (Deda)
Understanding extended narrative sensemaking
The Technology of Policing
Predict and Surveil
Four Responsibility Gaps with Artificial Intelligence
Red Tape
More E-Government, Less Street-Level Bureaucracy? On Legitimacy and the Human Side of Public Administration
Digital discretion
Research on body‐worn cameras
Algorithmic prediction in policing
Artificial Intelligence, Discretion, and Bureaucracy
Public Service Motivation
Technological Dramas and the Police
Coping With Public Value Conflicts
Public Values
Social Media and Value Conflicts
Assessing Qualitative Studies in Public Administration Research
From Street‐Level to System‐Level Bureaucracies
The Bureaucratic Ethos in Street-Level Work
A Hitchhiker's Guide to the Public Administration Research Universe
Administrative exclusion in the infrastructure‐level bureaucracy
Algorithmization of Bureaucratic Organizations
Antecedents of Public Service Motivation
A Theory Of Government “Red Tape
The algocracy as a new ideal type for government organizations
Codes of Good Governance
A Public Management for All Seasons
Thinking critically about and researching algorithms
Toward an Ethics of Algorithms
Big Data Surveillance
Grounded Theory and Sensitizing Concepts
| Unique citing works | 10 |
|---|---|
| Citations per year | 3,33 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 10 |