Crime Science最新文献

Introduction: Lip print of an individual is distinct and could be a useful form of evidence to identify the ethnicity of a terrorist.

Objectives: The study analyzed the distribution of lip print patterns of two major ethnic groups in Nigeria; Ibo and Hausa, to develop a strategic plan to check the wave of ethnically driven terrorism in Nigeria, carried out by groups such as Boko Haram and Indigeneous People of Biafra (IPOB).

Materials and methods: The study comprised 800 participants of Ibo and Hausa ethnic groups (400 males and 400 females). The study adopted a digital method of lip print analysis and followed the guidelines outlined by the Institute of Medicine (IOM) for anthropometric measurements. The lip was classified, using Tsuchihashi and Suzuki method of classification.

Results: The predominant lip print patterns of Ibo were Type I with complete vertical groove and Type III with intersect of groove for male and Type III for female. Type I' with partial length groove was the predominant pattern for both male and female Hausa. The lip width and height of female Ibo were longer than that of the Hausa counterpart (P < 0.05), but none of the anthropometric variables could predict the lip print pattern.

Conclusion: The lip size and print could aid forensic investigation, though genetic diversity and heterogeneity of ethnic groups in Nigeria, especially that of Ibo, could setback use of lip print pattern to identify the ethnicity of an unknown individual in Nigeria to help determine the terrorist group to which they may belong.

Geostatistical methods currently used in modern epidemiology were adopted in crime science using the example of the Opole province, Poland, in the years 2015-2019. In our research, we applied the Bayesian spatio-temporal random effects models to detect 'cold-spots' and 'hot-spots' of the recorded crime numbers (all categories), and to ascertain possible risk factors based on the available statistical population (demographic), socio-economic and infrastructure area characteristics. Overlapping two popular geostatistical models in the analysis, 'cold-spot' and 'hot-spot' administrative units were detected which displayed extreme differences in crime and growth rates over time. Additionally, using Bayesian modeling four categories of possible risk factors were identified in Opole. The established risk factors were the presence of doctors/medical personnel, road infrastructure, numbers of vehicles, and local migration. The analysis is directed toward both academic and police personnel as a proposal for an additional geostatistical control instrument supporting the management and deployment of local police based on easily available police crime records and public statistics.

Supplementary information: The online version contains supplementary material available at 10.1186/s40163-023-00189-0.

Despite decades of research into social disorganization theory, criminologists have made little progress developing community programs that reduce crime. The lack of progress is due in part to faulty assumptions in the theory: that neighborhoods are important; that residents are the primary source of control; and that informal social controls are emergent. In this paper we propose an alternative: the neighborhoods out of places explanation (NOPE). NOPE starts with property parcels (i.e., proprietary places), rather than neighborhoods. It focuses on the power and legal authority of people and institutions that own property, rather than on residents. It posits that control is intentional and goal driven, rather than emergent. We refer to those who own and control as creators. This small group of elites shape city areas and residents must adapt to the environments that suppress or facilitate crime. We discuss how shifting our focus to creators provides important new implications for theory, research, and policy in criminology.