Working as a rider for the Deliveroo platform is a professional activity that can be performed as a self-employed worker, the Labour Tribunal of Brussels has decided, which also ruled out the possibility of Deliveroo riders enjoying the fiscally beneficial status available for workers active on electronic platforms of the collaborative economy (or ‘sharing economy’).

Following the municipal elections in the Walloon Region (Belgium) on 14 October 2018, 189 political groups won an absolute majority. Twenty-two of these decided not to exercise power alone, but favoured the formation of an oversized coalition by integrating a minority partner. The aim of this article is to identify the motivations behind the formation of a local coalition when one of the partners has an absolute majority. Semi-structured interviews with mayors and leaders of political groups in these municipalities make it possible to identify the motivations for, first, the choice to open and, second, the choice of a minority partner. By distinguishing between necessary and supporting motivations, this article shows that the search for greater representation is a necessary motivation for the choice to open, whereas personal affinities and memories of the past are necessary motivations for choosing minority partners. By prioritising motivations, this article shows that.

Judges and public prosecutors across Europe continue to be the main source of referral of cases to restorative justice programmes organised in the context of the criminal justice system. As a result, the training of these two groups of legal professionals regarding what restorative justice is and what it can offer to victims, offenders and the community has for many years been identified as a priority for the development of restorative justice in the European Union (EU). However, little information is available about what actually exists in terms of judicial training on restorative justice within the national judicial training institutions responsible for the initial and/or continuous training of judges and/or public prosecutors. Therefore, we developed an online survey on judicial training on restorative justice and invited 38 judicial training institutions operating in the (then) 28 EU Member States to participate in our study. We were able to make relevant observations regarding the reasons for the non-existence of restorative justice training in most of the judicial training institutions studied and identify important elements of the architecture of the restorative justice training offered by the judicial training institution of Czech Republic.

With unfaltering determination, China continues to expand its Belt and Road Initiative (BRI). This article focuses on the preference that is given to mediation for the resolution of BRI-related disputes. China, Hong Kong and Singapore proclaim that this approach better fits with ‘Asian’ cultural values than adversarial processes like arbitration and litigation. The BRI can be seen as an innovative field lab where mechanisms for international commercial conflict management and resolution are being developed and put to action - and where legitimacy is tested.

Nowadays, electronic commerce plays a significant role in our society as internet transactions continue to grow in the business industry. Electronic commerce mainly refers to commercial transactions, such as business-to-business and business-to-consumer. Disputes are inevitable, part of our lives. Simultaneously by developing technology the need for an effective dispute resolution was obvious. Information communication technology and alternative dispute resolution together created online dispute resolution. Businesses and consumers are actively engaged in online dispute resolution. Therefore, the use of the internet makes business or consumer transactions easier. The online environment is much flexible when it comes to electronic commerce. This article focuses on online mediation, one of the most popular forms of online dispute resolution.

This study explores the spread of disinformation relating to the Covid-19 pandemic on the internet, dubbed by some as the pandemic’s accompanying “infodemic”, and the societal reactions to this development across different countries and platforms. The study’s focus is on the role of states and platforms in combatting online disinformation.
Through synthesizing answers to questions submitted by more than 40 researchers from 20 countries within the GDHR Network, this exploratory study provides a first overview of how states and platforms have dealt with Corona-related disinformation. This can also provide incentives for further rigorous studies of disinformation governance standards and their impact across different socio-cultural environments.
Regarding the platforms’ willingness and efficacy in removing (presumed) disinformation, a majority of submissions identifies a shift towards more intervention in pandemic times. Most submitters assess that this shift is widely welcomed in their respective countries and more often considered as taking place too slowly (rather than being perceived as entailing dangers for unjustified restrictions of freedom of expression). The picture is less clear when it comes to enforcing non-speech related infection prevention measures.
While the dominant platforms have been able to defend, or even solidify, their position during the pandemic, communicative practices on those platforms are changing. For officials, this includes an increasing reliance on platforms, especially social networks, for communicating infection prevention rules and recommendations. For civil society, the pandemic has brought an increasing readiness – and perceived need – to intervene against disinformation, especially through fact-checking initiatives.
National and local contexts show great variance at whether platform-driven disinformation is conceived as a societal problem. In countries where official sources are distrusted and/or seen as disseminating disinformation criticism against private information governance by platforms remains muted. In countries where official sources are trusted disinformation present on platforms is seen more negatively.
While Facebook, Twitter, and Instagram play important roles in the pandemic communication environment, some replies point towards an increasing importance of messaging apps for the circulation of Covid-19-related disinformation. These apps, like Telegram or WhatsApp, tend to fall under the radar of researchers, because visibility of content is limited and scraping is difficult, and because they are not covered by Network Enforcement Act-type laws that usually exclude one-to-one communication platforms (even if they offer one-to-many channels).
Vis-à-vis widespread calls for a (re)territorialization of their content governance standards and processes amid the pandemic, platform companies have maintained, by and large, global standards. Standardized, featured sections for national (health) authorities to distribute official information via platforms are exceptions thereto.

Recent developments in artificial intelligence (AI) and robotics point to a close future collaboration between humans and machines. Even though the use of personal robots is not yet a phenomenon, findings in technical and legal literature highlight several possible risks inherent in the processing of personal data by such robots. This article contributes to the current discussions on the applicability of the GDPR to AI technologies from three aspects: (i) first, it encourages the use of a scenario method to predict possible future legal problems related to new technologies; (ii) second, it analyzes considerations with the support of the relevant case-law and present comparative expert opinions for overcoming the weak points of the GDPR relevant to AI; (iii) and finally, proposals made in the recommendations part aim to contribute to a better application of the GDPR to AI technologies in personal use.

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.

Peer assessment is a rather marginalised method in political research. This research note argues that the collective expertise of MPs can complement other data to contribute to more comprehensive evaluations of MPs’ parliamentary work. Yet, this method is potentially flawed by low survey participation and rater bias among MPs. The experience with a peer assessment survey among members of three Belgian parliaments shows that participation does not necessarily need to be problematic. However, the empirical analysis suggests that scholars should control for various forms of rater bias.

Although restorative justice is a new concept in Bangladesh (BD), resolving wrongdoing outside the criminal justice system is not a new practice. Community-based mediation, known as salish, has been practised for centuries – withstanding colonisation, adaptation and distortion. Other practices, such as village courts and customary justice, are also prevalent in Bangladesh. Of these, village courts are currently the most widely practised in Bangladesh. Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ Bangladesh) formally introduced restorative justice in 2013 with the support of international non-governmental organisations (INGOs), NGOs, academics and government agencies. Most of the literature on community-based justice practice focuses on village courts; academic, peer-reviewed research on restorative justice in Bangladesh is scarce. This qualitative study explores the growth and development of restorative justice in Bangladesh. Using in-depth qualitative interviews and survey, the study retraces the genesis of restorative justice in Bangladesh. In recent times, GIZ Bangladesh has been key to the development of restorative justice, which was further expanded by UNDP’s Activating Village Courts project, as well as a graduate course on restorative justice at the University of Dhaka. This study also finds contentious themes raised by the key informants, specifically the role of INGOs, government and community.

While several studies identify trauma as a main risk factor for developing offending behaviour, the criminal justice system still largely ignores the problem, and the same seems to be true of restorative justice. This article offers a critical exploration of trauma-informed work with offenders using interpretative phenomenological analysis. The interviewees perceive a growing interest in the topic of trauma and trauma-informed care (TIC). However, they also identify several areas that seem to hinder a trauma-informed approach, not only with offenders but also with victims. One concern is the tendency to institutionalise restorative justice with an emphasis on efficiency, effectiveness and outcome orientation. The interviewees also perceive a revengeful and retributive attitude in their societies that does not condone restorative measures that seemingly favour offenders. This tendency appears even stronger in societies that have suffered from collaborative trauma and not recovered from it. Interviewees therefore advocate for raising awareness of trauma, the consequences of unhealed trauma and the need to work trauma-informed with all stakeholders, including offenders and the extended, affected community. They also appeal for increased training to be provided for practitioners in TIC and self-care as these areas seem essential to provide safe and beneficial processes for all stakeholders.

In June 2020, the Flemish populist radical right party Vlaams Belang (VB) published the Corona Blunder Book (CBB; Coronablunderboek in Dutch), detailing the government’s mistakes in handling the COVID-19 crisis. Populist parties can ‘perform’ crisis by emphasising the mistakes made by opponents (Moffitt, 2015) and may use a specifically populist discursive style, consisting largely of aggressive and sarcastic language (Brubaker, 2017). This paper takes the CBB as a case study in the populist performance of crisis and the populist style, finding that the book is, first, a clear example of populist ‘everyman’ stylistics and the performance of crisis, and, second, that VB uses the book to shift the COVID-19 crisis from a public health crisis to a crisis of governance, seeking to blame Belgium’s federal structure for the government’s alleged mismanagement of the COVID-19 pandemic and hence arguing for Flemish independence, one of the party’s main agenda points.

Restorative justice has increasingly been used across the criminal justice system. However, there is limited evidence of its use with service users within forensic mental health settings. This study conducted a focused ethnography in a medium secure unit in the UK to explore the implementation of the Sycamore Tree Programme, a specific restorative justice programme that the Prison Fellowship (PF) facilitates in prisons. This article examines the experience of PF volunteers and National Health Service (NHS) staff who came together to run the programme with the first cohort of eight service users (‘learners’). Focus groups were carried out before and after training with eight facilitators, and six interviews with facilitators were completed after the programme ended. Furthermore, detailed observations were carried over the six-week programme. It was found that the encounter was highly experiential for staff and that the group process generated significant emotion for both the learners and facilitators. A pre-requisite for containing the group’s and the facilitators’ emotions was staff taking a relational and collaborative approach to their work. The findings of this study are discussed within the theoretical framework of ‘the presentation of self in everyday life’ (Goffman, 1959), looking through the lens of the performative self in social relations.

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

Schools in the United States are implementing restorative justice practices that embrace student responsibility and reintegration to replace the zero-tolerance exclusionary policies popularised in the 1980s and 1990s. However, little is known about what factors are related to these and other restorative outcomes. The present study utilises 2017-2018 survey data (n = 1,313) across five West Michigan schools to determine how participant and restorative circle characteristics contribute to participant satisfaction within ordinary least squares (OLS) regression models. Findings show that several characteristics of restorative circles, including the number of participants, time spent in the restorative circle, number of times respondents have participated in a circle, and whether an agreement was reached, are significantly related to participant satisfaction. In addition, gender and participant role interact to have a significant effect on satisfaction. And models disaggregated by incident type indicate that the interaction between race and participant role has a significant effect on satisfaction, but only among restorative circles involving friendship issues. Suggestions for future research, as well as strategies aimed at improving participant satisfaction within restorative circles, are discussed.