In this article, we investigated the effects of the Covid-19 crisis and lockdown on social stability within the individual level, group level and society level. To investigate these effects, data from incident reports of emergency services (i.e., police, fire brigade and ambulance) in the South of the Netherlands from 2018 to 2020 were collected. An incident is defined as an unique notification with deployment of one or more emergency service(s). Incidents were categorized according to the standardized classification LMC 6.0. We investigated regional differences from 2018 to 2020 using monthly time trends. On the individual level we found a time trend in accordance with the onset of the lockdown, with a decrease in property crime operationalized as theft, burglary and robbery, and an increase in psychological effects, operationalized as suicide attempts and nuisance by a person. On the group level, operationalized as incidents nuisance by youth, noise, fireworks and vandalism, we found a time pattern with an increase in incidents coherent with the lockdown period. On the level of the society, operationalized as incidents public order, conflicts, violence and explosives, we also found an increase in incidents coherent with the lockdown period. We conclude that incident reports of emergency services give additional insight in the effects of a lockdown on social stability.

Predictive policing is the use of historical crime and other data in complex statistical models to predict where and when there is a high risk of new crime events. These predictions can then be used to direct police patrols proactively. Despite the increasing use and commercialisation of predictive policing worldwide, academic research into the methodological and operational dimensions of predictive policing is relatively limited. Since 2015 we have researched and tested several predictive crime models methodologically and operationally, based on police and other (big) data sources in several Belgian police districts. In this article, we summarise the results of six years of empirical research into predictive policing and look to the future of predictive policing research and practice.

In order to advance our understanding of digital drug markets on social media, this article examines the trustworthiness of cocaine dealers on Telegram Messenger. Based on an exploratory netnography, we illustrate that digital dealers on Telegram Messenger use a number of sales tactics to attract potential customers, emphasizing the quality of the goods and service and (competitive) pricing strategies. These sales tactics include various signals that seem intended to appear as trustworthy as possible to potential customers. Seen from the perspective of signaling theory, our study highlights the ambiguity of these signals that, depending on the online observer, could both signal trustworthiness and untrustworthiness.

Crises and disasters can seriously affect the health, well-being and functioning of the people involved. From a governance perspective, it is important that public leaders and crisis managers are aware of what the psychosocial dimension of crisis management entails. The objective of the current contribution is to analyse dilemmas and challenges described in evaluations of crises that occurred in the Netherlands between 2012 and 2016. Thirty-six evaluations were analysed against the background of a theoretical framework combining crisis leadership tasks and psychosocial support principles along the crisis life cycle. Public leaders and crisis managers had to deal with classical crisis problems concerning coordination, collaboration and communication. Other recurring themes were linked to social media, and the tension between tasks such as meaning making (social recognition), account giving and learning. Moreover, the analysis illustrates how difficult it is to gain insight into the needs, problems and vulnerabilities of the individuals and groups affected.