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Data & Policy is a peer-reviewed journal published by Cambridge University Press, covering Ethics and Social Impacts of AI, Privacy, Security, and Data Protection, E-Government and Public Services.
| Publisher | Cambridge University Press |
|---|---|
| Reference style | Numbered Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, A representative article title, Data & Policy 12 (2023) 45–58.
Formats any DOI in the closest standard style — Data & Policy has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Ethics and Social Impacts of AI Privacy, Security, and Data Protection E-Government and Public Services Privacy-Preserving Technologies in Data Human Mobility and Location-Based Analysis |
| ISSN | 2632-3249 |
| Citation impact (2-yr) | 3.75 |
| h-index | 28 |
| i10-index | 85 |
| Total citations | 3,032 |
| Article processing charge | $1,594 |
| Open access | Yes |
| Top institutions publishing here | University of Cambridge |
| Journal website | www.cambridge.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract Artificial intelligence (AI) systems are playing an overarching role in the disinformation phenomenon our world is currently facing. Such systems boost the problem not only by increasing opportunities to create realistic AI-generated fake content, but also, and essentially, by facilitating the dissemination of disinformation to a targeted audience and at scale by malicious stakeholders.…
Abstract A lack of political legitimacy undermines the ability of the European Union (EU) to resolve major crises and threatens the stability of the system as a whole. By integrating digital data into political processes, the EU seeks to base decision-making increasingly on sound empirical evidence. In particular, artificial intelligence (AI) systems have the potential…
Abstract This article discusses the technology of city digital twins (CDTs) and its potential applications in the policymaking context. The article analyzes the history of the development of the concept of digital twins and how it is now being adopted on a city-scale. One of the most advanced projects in the field—Virtual Singapore—is discussed in…
Abstract This commentary looks at the use of corporate social responsibility (CSR) mechanisms for implementing responsible data use. The commentary offers an overview of CSR theory and the discourse on a growing phenomenon known as corporate digital responsibility (CDR). The commentary links these theories to the historical debates on the nature of technology, ethics, and…
Abstract Explainability is highly desired in machine learning (ML) systems supporting high-stakes policy decisions in areas such as health, criminal justice, education, and employment. While the field of explainable ML has expanded in recent years, much of this work has not taken real-world needs into account. A majority of proposed methods are designed with generic…
