Compared to macroeconomic factors, the financial situation of the individual may provide better insight into the relationship between debt and crime. However, the relationship between debt and crime is still unclear and little is known about the causality of this relationship and the factors that influence it. To obtain more insight into this relationship, a systematic and scoping literature review was conducted. Five articles were analyzed in the systematic review, and 24 articles in the scoping review. The results of the systematic review show a strong association between debt and crime whereby debt is a risk factor for crime, especially for recidivism and regardless of the type of crime, and crime is a risk factor for debt. The scoping review provided additional and in-depth insight, and placed the results of the systematic review in a broader perspective. Moreover, it emphasized the prevalence of debt among offenders, regardless of age, and identified the factors that influence the relationship between debt and crime.
DOCUMENT
‘The fear of crime’ is “upon everybody’s tongue” nowadays (Farrall & Gadd 2004:1). The concept is widely accepted as social problem across the globe (Gray, Jackson & Farrall 2008, Garland 2001) as it is held to impinge ‘(…) upon the well-being of a large proportion of the population’ (Farralll et al. 1997:658). But do we actually have a valid picture of a genuine ‘social problem of striking dimensions’ (Ditton 1999:83)? Critical voices say we don’t. ‘The fear of crime’ - as we generally know it - is seen by them as ‘(…) a product of the way it has been researched rather than the way it is’ (Farrall et al. 1997:658). And still, 45 years after the start of research, ‘surprisingly little can be said conclusively about the fear of crime‘ (Ditton & Farrall 2000:xxi). This research contributes to a growing body of knowledge - from especially the last fifteen years - that treats ‘the fear of crime’ as ‘(…) a complex allocation of interacting feelings, perceptions, emotions, values and judgments on the personal as well as the societal level’ (Pleysier 2010:43). One often replicated and paradoxical observation catches the eye: citizens perceive a growing threat of crime to their society, but consequently perceive a low risk that they themselves will fall victim of crime. Taking a social psychological approach (e.g. see Farrall et al. 2000; Jackson 2008), we will search for suitable explanations for this paradoxical observation in the fear of crime’s research tradition. The aim of this research is ‘to integrate social psychological concepts related to the individual’s identity and evaluation of his position in an increasingly complex society, to enhance our understanding of the fear of crime concept’ (Pleysier & Cops 2016:3).
MULTIFILE
Crime scene investigations are highly complex environments that require the CSI to engage in complex decision-making. CSIs must rely on personal experience, context information, and scientific knowledge about the fundamental principles of forensic science to both find and correctly interpret ambiguous traces and accurately reconstruct a scene. Differences in CSI decision making can arise in multiple stages of a crime scene investigation. Given its crucial role in forensic investigation, CSI decision-making must be further studied to understand how differences may arise during the stages of a crime scene investigation. The following exploratory research project is a first step at comparing how crime scene investigations of violent robberies are conducted between 25 crime scene investigators from nine countries across the world.Through a mock crime scene and semi-structured interview, we observed that CSIs have adopted a variety of investigation approaches. The results show that CSIs have different working strategies and make different decisions when it comes to the construction of relevant hypotheses, their search strategy, and the collection of traces. These different decisions may, amongst other factors, be due to the use of prior information, a CSI’s knowledge and experience, and the perceived goal of their investigation. We suggest the development of more practical guidelines to aid CSIs through a hypothetico-deductive reasoning process, where (a) CSIs are supported in the correct use of contextual information, (b) outside knowledge and expertise are integrated into this process, and (c) CSIs are guided in the evaluation of the utility of their traces.
MULTIFILE
Wildlife crime is an important driver of biodiversity loss and disrupts the social and economic activities of local communities. During the last decade, poaching of charismatic megafauna, such as elephant and rhino, has increased strongly, driving these species to the brink of extinction. Early detection of poachers will strengthen the necessary law enforcement of park rangers in their battle against poaching. Internationally, innovative, high tech solutions are sought after to prevent poaching, such as wireless sensor networks where animals function as sensors. Movement of individuals of widely abundant, non-threatened wildlife species, for example, can be remotely monitored ‘real time’ using GPS-sensors. Deviations in movement of these species can be used to indicate the presence of poachers and prevent poaching. However, the discriminative power of the present movement sensor networks is limited. Recent advancements in biosensors led to the development of instruments that can remotely measure animal behaviour and physiology. These biosensors contribute to the sensitivity and specificity of such early warning system. Moreover, miniaturization and low cost production of sensors have increased the possibilities to measure multiple animals in a herd at the same time. Incorporating data about within-herd spatial position, group size and group composition will improve the successful detection of poachers. Our objective is to develop a wireless network of multiple sensors for sensing alarm responses of ungulate herds to prevent poaching of rhinos and elephants.
The increase in the number and complexity of crime activities in our nation together with shortage in human resources in the safety and security domain is putting extra pressure on emergency responders. The emergency responders are constantly confronted with sophisticated situations that urgently require professional, safe, and rapid handling to contain and conclude the situation to minimize the danger to public and the emergency responders. Recently, Dutch emergency responders have started to experiment with various types of robots to improve the responsiveness and the effectiveness of their responses. One of these robots is the Boston Dynamic’s Spot Robot Dog, which is primarily appealing for its ability to move in difficult terrains. The deployment of the robot in real emergencies is at its infancy. The main challenge that the robot dog operators are facing is the high workload. It requires the full attention to operate the robot itself. As such, the professional acts entirely as a robot operator rather than a domain expert that critically examines and addresses the main safety problems at hand. Therefore, there is an urgent request from these emergency response professionals to develop and integrate key technologies that enable the robot dog to operate more autonomously. In this project, we explore on how to increase the autonomy level of the robot dog in order to reduce the workload of the operator, and eventually help the operator remain domain expert. Therefore, we will explore the ability of the robot to autonomously 3D-map unknown confined areas. The results of this project will lead to new practical knowledge and a follow-up project that will focus on further developing the technologies that increase the autonomy of the robot for eventual deployment in operational environments. This project will also have direct contribution to education through involvement of students and lecturers.
