Search result: 7 articles

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Year 2021 x
Article

Access_open Ruled by Fear or Safety-Related Empowerment

The Experience and Meaning of Penal Protection Orders in Intimate Partner Violence in the Netherlands

Journal Erasmus Law Review, Issue 3 2021
Keywords intimate partner violence, stalking, protection orders, empowerment, safety, well-being
Authors Irma W.M. Cleven
AbstractAuthor's information

    This study uses a novel approach to understand the experience and meaning of unsafety and the contribution of penal protection orders to victim empowerment in cases of intimate partner violence (IPV). In ten in-depth interviews, IPV survivors reflect on their relationship with their ex-partner and the previous years in which the order against their ex-partner was issued, including its role within the wider process of coming to terms with IPV victimisation and moving on. Depending on expectations of protection orders (POs) enforcement and deterrence, POs enhance one’s safety-related self-efficacy and result in a sense of empowerment. Its meaning can be understood in terms of one’s power from the ex-partner, power to act, status vis-à-vis the offender and the wider community, care/help of the CJS, and unity/togetherness with the wider community. Several implications for theoretical and empirical research and practice are discussed.


Irma W.M. Cleven
Irma W.M. Cleven, MSc, is PhD Candidate at the Department of Criminology of the Erasmus University Rotterdam, the Netherlands.

Sanne Struijk
Sanne Struijk is Professor of Penal Sanctions Law, Erasmus School of Law, Rotterdam, the Netherlands, and also Endowed Professor Penology and Penitentiary Law, Rijksuniversiteit Groningen, Groningen, the Netherlands.
Article

Access_open How Do Victims With the Need for Protection Judge Their Experiences With the Police in the Netherlands?

An Exploration

Journal Erasmus Law Review, Issue 3 2021
Keywords victim needs, protection, reasons to report, contribution to safety, police information, victim-offender relationship
Authors Annemarie ten Boom
AbstractAuthor's information

    This article presents a preliminary analysis of how victims who report to the police for protection in the Netherlands judge their experiences with the police, in comparison with victims reporting crimes for other reasons. An existing dataset was used: the data was originally collected for a comprehensive survey among crime victims of 12 years and older in 2016. Female victims of violent (sexual and non-sexual) crimes constitute the major part of the victims for whom protection is the most important reporting reason. Victim perceptions of police contribution to safety as well as police information were investigated. The analyses show that overall, victim perceptions of the police’s contribution to safety are rather negative. Contribution to safety is judged somewhat better by victims for whom protection is their most important reporting reason; however, the respondents who are positive still form a minority. Police information is judged positively by more victims than contribution to safety. Of the respondents for whom protection is a reporting reason, victims of sexual crimes appear to judge police information positively more often than victims of other crime types.


Annemarie ten Boom
Annemarie ten Boom, PhD, was a researcher at the WODC, Ministry of Justice and Security in the Netherlands until February 2022.
Article

Access_open Text-mining for Lawyers: How Machine Learning Techniques Can Advance our Understanding of Legal Discourse

Journal Erasmus Law Review, Issue 1 2021
Keywords text mining, machine learning, law, natural language processing
Authors Arthur Dyevre
AbstractAuthor's information

    Many questions facing legal scholars and practitioners can be answered only by analysing and interrogating large collections of legal documents: statutes, treaties, judicial decisions and law review articles. I survey a range of novel techniques in machine learning and natural language processing – including topic modelling, word embeddings and transfer learning – that can be applied to the large-scale investigation of legal texts


Arthur Dyevre
Arthur Dyevre is Professor at the KU Leuven Centre for Empirical Jurisprudence, Leuven, Belgium. arthur.dyevre@kuleuven.be.
Article

Access_open Teaching Technology to (Future) Lawyers

Journal Erasmus Law Review, Issue 1 2021
Keywords legal education, law and technology, legal analytics, technology education, technological literacy
Authors Mikołaj Barczentewicz
AbstractAuthor's information

    The article offers a reflection on how applications of computer technology (including data analytics) are and may be taught to (future) lawyers and what are the benefits and limitations of the different approaches. There is a growing sense among legal professionals and law teachers that the technological changes in the practice of law are likely to promote the kind of knowledge and skills that law graduates often do not possess today. Teaching computer technology can be done in various ways and at various depths, and those different ways and levels have different cost and benefit considerations. The article discusses four models of teaching technology: (1) teaching basic technological literacy, (2) more advanced but general technology teaching, (3) teaching computer programming and quantitative methods and (4) teaching a particular aspect of technology – other than programming (e.g. cybersecurity). I suggest that there are strong reasons for all current and future lawyers to acquire proficiency in effective uses of office and legal research software and standard means of online communication and basic cybersecurity. This can be combined with teaching of numerical and informational literacy. I also claim that advanced technology topics, like computer programming, should be taught only to the extent that this is justified by the direct need for such skills and knowledge in students’ future careers, which I predict to be true for only a minority of current lawyers and law students.


Mikołaj Barczentewicz
Mikołaj Barczentewicz is the Research Director, Surrey Law and Technology Hub, as well as Senior Lecturer (Associate Professor) in Law, University of Surrey School of Law. He is also a Research Associate of the University of Oxford Centre for Technology and Global Affairs.
Article

Access_open Big Data Ethics: A Life Cycle Perspective

Journal Erasmus Law Review, Issue 1 2021
Keywords big data, big data analysis, data life cycle, ethics, AI
Authors Simon Vydra, Andrei Poama, Sarah Giest e.a.
AbstractAuthor's information

    The adoption of big data analysis in the legal domain is a recent but growing trend that highlights ethical concerns not just with big data analysis, as such, but also with its deployment in the legal domain. This article systematically analyses five big data use cases from the legal domain utilising a pluralistic and pragmatic mode of ethical reasoning. In each case we analyse what happens with data from its creation to its eventual archival or deletion, for which we utilise the concept of ‘data life cycle’. Despite the exploratory nature of this article and some limitations of our approach, the systematic summary we deliver depicts the five cases in detail, reinforces the idea that ethically significant issues exist across the entire big data life cycle, and facilitates understanding of how various ethical considerations interact with one another throughout the big data life cycle. Furthermore, owing to its pragmatic and pluralist nature, the approach is potentially useful for practitioners aiming to interrogate big data use cases.


Simon Vydra
Simon Vydra is a Researcher at the Institute for Public Administration, Leiden University, the Netherlands.

Andrei Poama
Andrei Poama is Assistant Professor at the Institute for Public Administration, Leiden University, the Netherlands.

Sarah Giest
Sarah Giest is Assistant Professor at the Institute for Public Administration, Leiden University, the Netherlands.

Alex Ingrams
Alex Ingrams is Assistant Professor at the Institute for Public Administration, Leiden University, the Netherlands.

Bram Klievink
Bram Klievink is Professor of Digitization and Public Policy at the Institute for Public Administration, Leiden University, the Netherlands.
Editorial

Access_open Computational Methods for Legal Analysis

The Way Forward?

Journal Erasmus Law Review, Issue 1 2021
Keywords computational legal analysis, empirical legal studies, natural language processing, machine learning
Authors Elena Kantorowicz-Reznichenko
AbstractAuthor's information

    Computational analysis can be seen as the most recent innovation in the field of Empirical Legal Studies (ELS). It concerns the use of computer science and big data tools to collect, analyse and understand the large and unstructured data, such as for instance (legal) text. Given that the text is now the object of analysis, but the methods are (largely) quantitative, it lies in the intersection between doctrinal analysis and ELS. It brings with it not only a great potential to scale up research and answer old research questions, but also to reveal uncovered patterns and address new questions. Despite a slowly growing number of legal scholars who are already applying such methods, it is underutilised in the field of law. Furthermore, given that this method comes from social and computer sciences, many legal scholars are not even aware of its existence and potential. Therefore, the purpose of this special issue is not only to introduce these methods to lawyers and discuss possibilities of their application, but also to pay special attention to the challenges, with a specific emphasis on the ethical issues arising from using ‘big data’ and the challenge of building capacity to use such methods in law schools. This editorial briefly explains some of the methods which belong to the new movement of Computational Legal Analysis and provides examples of their application. It then introduces those articles included in this special issue. Finally, it provides a personal note on the way forward for lawyers within the movement of Computational Legal Analysis


Elena Kantorowicz-Reznichenko
Elena Kantorowicz-Reznichenko is Professor of Quantitative Empirical Legal Studies at the Rotterdam Institute of Law and Economics, Erasmus School of Law, Erasmus University, Rotterdam.
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