Titel Deelnemers "Korte inhoud" "Do money and guilt primes affect the likelihood of theft by taking? Findings from a visualized scenario study" "Ann De Buck, Wim Hardyns, Lieven Pauwels" "In this article, we report on the results of two experimental manipulations in a visual scenario survey experiment. We explored to what extent a conceptual money and guilt priming task combined with random assignment to a manipulated scenario condition affects the likelihood of theft by taking and anticipated guilt. Data are taken from a region-wide convenience sample of adolescents and young adults (N = 3564). Six subgroups of participants are created based on two experimental manipulations. Firstly, before being presented with a visual scenario vignette depicting the act of stealing a small amount of money, survey participants are randomly assigned to a scrambled sentence test in which the concepts of money or guilt are primed. Secondly, each participant is again randomly assigned to either a visual scenario condition in which a witness is present or to a visual scenario condition in which no one is present. MANOVA is used to test the differences between the subgroups across two dependent variables simultaneously: the likelihood of theft by taking, and anticipated guilt. Results show no significant differences between the experimental conditions and the control condition for the dependent variables. Implications of the findings are discussed." "Digital Forensics : van beeldmateriaal naar bewijs" "Harm van Beek, Hans Henseler, Arjan Mieremet, Thom Snaphaan" "Expanding the methodological toolkit of criminology and criminal justice with the Total Error Framework" "Thom Snaphaan, Wim Hardyns, Lieven Pauwels" "The availability and use of new and emerging data sources has increased exponentially. The variety of these data sources offers opportunities to complement, replace, improve or add to conventional data sources. Survey data is one kind of these conventional data sources. In survey research, a framework to assess the accuracy of survey data already has been around for quite some time, and goes by the name of the Total Survey Error (TSE) framework. The philosophy behind this framework has only recently been universalized to (big) data in general in the form of the Total Error Framework (TEF). The current study introduces the TEF to the methodological toolkit of scholars and practitioners in criminology and criminal justice by outlining this generic framework and applying it to an empirical case study (on calculating spatially-referenced crime rates) utilizing two types of administrative data and mobile phone data. The present study discusses the added value and limitations of adapting the TEF, providing guidance to apply the TEF in research and practice. Finally, we propose promising avenues for future inquiries." "Can social concern theory explain quarantine-related misbehavior during the COVID-19 pandemic? An inquiry in the urban context of Iran" "Saeed Kabiri, Seyyedeh Masoomeh (Shamila) Shadmanfaat, Lieven Pauwels, Christopher M. Donner, John K. Cochran, Wim Hardyns" "The COVID-19 pandemic has precipitated quarantines in many urban settings, and rules have been enforced to ensure that citizens are complying with health-related mandates. However, anecdotal and empirical evidence confirm the prevalence of policy transgressions. Non-compliance with COVID-19 mandates can have severe consequences for individual health, societal fear, and the global economy. Thus, it is important to better understand the etiology of such misbehavior in the hopes of ensuring policy adherence. Using Agnew's social concern theory as a conceptual framework, this study investigates quarantine-related misbehavior in the urban context of Rasht, Iran. Survey data of 393 university students indicate that social concern theory can explain quarantine-related misbehavior. Specific findings, implications, limitations, and directions for future research are discussed." "Men’s (online) intimate partner violence experiences and mental health : polyvictimization, polyperpetration and victim-perpetrator overlap" "Janneke Schokkenbroek, Koen Ponnet, Wim Hardyns" "The present study examined men’s experiences of intimate partner violence (IPV) and associated mental health problems. Specifically, we investigated men’s (poly)victimization, (poly) perpetration, and victim-perpetrator overlap experiences of physical, sexual, psychological, and cyber IPV, and associations with anxiety and depression. Data were collected via survey among a representative sample (n = 1587) in Ghent, Belgium. For this study, the sample consisted of 557 men in a romantic relationship. We found that polyvictimization (45.8%), polyperpetration (31.1%), and victim-perpetrator overlap (26.2% to 60.5%) were rather common among men who experienced partner violence. Polyvictims, polyperpetrators, as well as victim- perpetrators of psychological and cyber IPV reported the highest levels of anxiety and depression. Our findings emphasize the importance of addressing men’s (accumulated) experiences of online and offline bidirectional IPV in research and practice, and to account for internalizing and externalizing expressions of mental health problems among male victims, perpetrators and victim-perpetrators of IPV." "Digitaal partnergeweld : typologie, impact en de rol van politie" "Michel Walrave, Janneke Schokkenbroek, Aurélie Gilen, Koen Ponnet, Wim Hardyns" "Digitale media kunnen ingezet worden voor het plegen van geweld in de verschillende fasen van een partnerrelatie, zoals de datingfase, het onderhouden van de relatie maar ook tijdens en na het beëindigen van de relatie. In de context van digitaal partnergeweld kunnen beelden en misbruik van beelden een belangrijke rol spelen. In deze bijdrage bieden we een overzicht van de vormen van digitaal partnergeweld die kunnen voorkomen in verschillende fasen van de relatie en de stand van kennis op dit gebied. Ook bespreken we de impact die dit heeft op het slachtoffer, welke copingmechanismen ze kunnen inzetten, waaronder het inschakelen van het persoonlijke sociale netwerk en eventuele professionele hulp. De rol van de politie en andere stakeholders wordt eveneens toegelicht." "Rating places and crime prevention : exploring user-generated ratings to assess place management" "Thom Snaphaan, Wim Hardyns, Lieven Pauwels, Kate Bowers" "This study assesses how the quality of place management (measured with user-generated ratings from Google Places) is related to crime occurrences at specific settings and whether specific crime types are related to specific types of places. In 50 randomly sampled neighborhoods in Ghent (Belgium) and London (United Kingdom), we analyzed Google Places data as a proxy measure for the quality of place management at the street segment level. We used hurdle models to examine the effects for both the prevalence and frequency of crime at micro places, and to deal with excess zeros in the data. User-generated ratings of places provide a useful place-level indicator for place management that are related to crime. However, contextual differences are found between Ghent and London. For London, the results suggests that higher quality of place management has a protective effect on crime occurrences at the street segment level. This study indicates the importance of exploring new and emerging data sources as unique measurement opportunities to enhance insight in crime prevention mechanisms, and also acknowledges its limitations. For the first time from a large-scale empirical perspective, this study suggests that improving place management at specific places might be an effective intervention to guard against crime." "Technology-facilitated harm and abuse in intimate relationships" "Janneke Schokkenbroek, Wim Hardyns" "Evaluation and mentoring of the Multi-Agency approach to violent radicalisation in Belgium, the Netherlands, and Germany" "Noel Klima, Wim Hardyns, Lieven Pauwels, Lien Dorme, Birte Vandaele" "As stated by an earlier RAN policy paper, multi-agency structures and working processes are crucial for early and effective identification of individuals at-risk, improved information-sharing, joint decision-making, and coordinated action. Multi-Agency Working (MAW) breaks down historical silos between agencies and leads in different cities to cooperation, instead of fragmentation of services. Although practitioners and academics endorse the added value of MAW, they also pinpoint some prerequisites of building an effective collaboration (building trust, awareness, ethical and legislative guidance, etc.). Two main challenges for MAW have been indicated, namely (1) the lack of established policies and procedures for MAW in countering violent extremism and thorough evaluation research of the MAW approach and (2) the barriers of information sharing. In this presentation, we will focus on a process-evaluation methodology of MAW within the three countries (Belgium, the Netherlands, Germany) to identify the effective key components of an intervention and thus help to understand why a program or intervention was successful or not." "Predicting crime across cities and regions : a comparative analysis of predictive modelling in three Belgian settings" "Wim Hardyns, Robin Khalfa" "The current study examines whether the predictive modelling of crime can be applied consistently across different urban settings. An ensemble network was applied to generate crime predictions regarding three specific urban settings, for which both crime and supporting data were employed spanning the period from 2012-2016. For each setting, prediction performance measures were calculated and compared per crime type. The results indicate that relatively better and consistent performance measures were achieved for a larger and denser urban setting (setting C), while for a smaller urban setting (setting B), performance measures suggested that the model was overpredicting. For the urban setting with a more intermediate size (setting A), prediction performance was average compared to the other settings, yet for aggressive theft, relatively poor performance measures were achieved. Future research should consider to predict crime across urban and rural settings. Limitations of this study are furthermore discussed."