This paper extends the Pissarides (2000) model of the labor market to include crime and punishment à la Becker (1968). All workers, irrespective of their labor force status can commit crimes and the employment contract is determined optimally. The model is used to study, analytically and quantitatively, the effects of various labor market and crime policies. For instance, a more generous unempl...

Background: This paper describes the work undertaken over many years by the author and colleagues concerning the role of opportunity in crime. The work began in the early 1970s in the Home Office Research Unit, the British government’s criminological research department. Discussions: The work supported a preventive approach – situational crime prevention – that was highly contentious in the cri...

This paper presents a spatial‐ temporal prediction of crime that allows forecasting of the criminal activity behavior in a particular district by using structured crime classification algorithm. The quantity of each crime is understood as the forecasted enhance or reduce the particular moment in time and location of the criminal activity. The proposed algorithm used for forecasting crime is bas...

167 Many people are afraid of falling prey to crime. The present report investigates the extent to which this fear is in line with the actual regional crime rates. This analysis is based on data from a comprehensive database on the fear of crime, combined with police crime statistics (specifically, adjusted crime statistics which factor in the “dark figure” of unreported crime). No evidence was...

Crime and Mental Wellbeing We provide empirical evidence of crime’s impact on the mental wellbeing of both victims and non-victims. We differentiate between the direct impact to victims and the indirect impact to society due to the fear of crime. The results show a decrease in mental wellbeing after violent crime victimization and that the violent crime rate has a negative impact on mental well...

Crime is a major societal problem for most of the world's nations. Consequently, the police need to develop new methods to improve their efficiency in dealing with these ever increasing crime rates. Two of the common difficulties that the police face in crime control are crime investigation and the provision of crime information to the general public to help them protect themselves. Crime contr...

Automated adversarial detection systems can fail when under attack by adversaries. As part of a resilient data stream mining system to reduce the possibility of such failure, adaptive spike detection is attribute ranking and selection without class-labels. The first part of adaptive spike detection requires weighing all attributes for spiky-ness to rank them. The second part involves filtering ...

BACKGROUND Area-level socioeconomic disparities have long been associated with adverse pregnancy outcomes. Crime is an important element of the neighborhood environment inadequately investigated in the reproductive and public health literature. When crime has been used in research, it has been variably defined, resulting in non-comparable associations across studies. METHODS Using geocoded li...

This paper presents the first criminological analysis of an online social reaction to a crime event of national significance, in particular the detection and propagation of cyberhate on social media following a terrorist attack. We take the Woolwich, London terrorist attack in 2013 as our event of interest and draw on Cohen’s process of warning, impact, inventory and reaction to delineate a seq...

The detection of latent traces is an important aspect of crime scene investigation. Blood stains on black backgrounds can be visualized using chemiluminescence, which is invasive and requires a darkened room, or near-infrared photography, for which investigators need to change filters manually to optimize contrast. We demonstrated the performance of visible reflectance hyperspectral imaging (40...