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Jeliazkov and Poirier (2008) analyze the daily incidence of violence during the Second Intifada in a statistical way using an analytical Bayesian implementation of a second-order discrete Markov process. We tackle the same data and modeling problem from our perspective as cognitive scientists. First, we propose a psychological model of violence, based on a latent psychological construct we call “build up” that controls the retaliatory and repetitive violent behavior by both sides in the conflict. Build up is based on a social memory of recent violence and generates the probability and intensity of current violence. Our psychological model is implemented as a generative probabilistic graphical model, which allows for fully Bayesian inference using computational methods. We show that our model is both descriptively adequate, based on posterior predictive checks, and has good predictive performance. We then present a series of results that show how inferences based on the model can provide insight into the nature of the conflict. These inferences consider the base rates of violence in different periods of the Second Intifada, the nature of the social memory for recent violence, and the way repetitive versus retaliatory violent behavior affects each side in the conflict. Finally, we discuss possible extensions of our model and draw conclusions about the potential theoretical and methodological advantages of treating societal conflict as a cognitive modeling problem.

Technology-facilitated abuse, so-called “tech abuse,” through phones, trackers, and other emerging innovations, has a substantial impact on the nature of intimate partner violence (IPV). The current chapter examines the risks and harms posed to IPV victims/survivors from the burgeoning Internet of Things (IoT) environment. IoT systems are understood as “smart” devices such as conventional household appliances that are connected to the internet. Interdependencies between different products together with the devices' enhanced functionalities offer opportunities for coercion and control. Across the chapter, we use the example of IoT to showcase how and why tech abuse is a socio-technological issue and requires not only human-centered (i.e., societal) but also cybersecurity (i.e., technical) responses. We apply the method of “threat modeling,” which is a process used to investigate potential cybersecurity attacks, to shift the conventional technical focus from the risks to systems toward risks to people. Through the analysis of a smart lock, we highlight insufficiently designed IoT privacy and security features and uncover how seemingly neutral design decisions can constrain, shape, and facilitate coercive and controlling behaviors.

Research on the intergenerational transmission of violence has been limited by reliance on variable-oriented methodology that does not capture heterogeneity that exists within experiences of violent interpersonal conduct. The current study therefore examines the utility of a person-oriented statistical method in understanding patterns of maltreatment and intimate partner violence.

Guided by person-oriented theory, the current study utilizes latent class analysis, a person-oriented method used with cross-sectional data, to examine the heterogeneity within this transmission process in a sample of emerging adults (N = 150). This study also examined whether the classes identified differed on reported emotional reactivity and childhood family environment.

Three classes emerged from the latent class analysis, labeled full transmission, psychological transmission, and no transmission. Those comprising the full transmission subgroup reported the lowest levels of childhood family cohesion, accord, and closeness. The full transmission subgroup also reported significantly more emotional reactivity than the psychological transmission and no transmission subgroups.

To understand fully the etiology of intimate partner violence for maltreated offspring, a multidimensional view of violence is needed. The current study represents a step in this direction by demonstrating the utility of a person-oriented approach in understanding the IGT of violence.

Domestic violence is a social ill that results in significant social costs. While the employment costs of domestic violence are obvious to victims and advocates for battered women, there is little research that examines the relationship between abuse and women’s employment opportunities. In this paper, we build on existing models of domestic violence by presenting a model that allows for a simultaneous relationship between women’s income and violence. The validity of the model is tested empirically using several different data sets. The results are mixed. While the empirical evidence supports the model’s assumption that violence has a negative impact on the labor market productivity of working women, it also indicates that being a battered woman does not significantly decrease the likelihood that a woman participates in the labor market. In fact, empirical results indicate that after controlling for the simultaneity of violence and work, battered women are more likely to work than women who are not abused. While women who are victims of intimate abuse most likely find it much harder to work outside the home, these negative effects may be offset by strong incentives to increase their economic independence by holding jobs.

In the present paper we explore the long-term influence of childhood neglect on violent behavior in the transition to adulthood. In particular, we test whether neglect is spuriously related to violence due to their common association with academic achievement, physical abuse, and general offending. We then ask whether neglect has an indirect effect on violence through its impact on parental attachment, alcohol use, emotional negativity, academic achievement, or staying in school.

We use two waves of data from the National Longitudinal Survey of Adolescent Health (Add Health) and employ both regression models and INDIRECT, a syntax file that allows for the testing of indirect effects using SPSS (Preacher & Hayes, 2008).

We find that the long-term association between childhood neglect and violence in the transition to adulthood is robust in models controlling for GPA, physical abuse, and other forms of offending. Neglect did not have an indirect effect on violence through attachment, negative emotionality, or academic achievement but did have indirect effects on violence through its association with staying in school and with alcohol use.

This set of analyses was exploratory in nature. Further research on neglect should be undertaken, using finely tuned measures and research questions. In addition, our findings imply that the association between neglect and later violent behavior may be intertwined with certain dynamics of physical abuse and alcohol use, which should be further studied.

Purpose – Rural–urban divides characterize many violent internecine conflicts. The lack of rural development is often cited as an underlying structural cause of this phenomenon, and thus strengthening rural–urban linkages is often touted as a way of dismantling the structural conditions for internecine violence. This chapter attempts to identify how both the strength and the form of rural–urban linkages influence the intensity of insurgent violence.

Methodology – Using geographic information systems, this chapter analyzes the intensity of specific violent attacks by rural insurgent groups in Maoist India as a function of rural–urban linkages and transportation network redundancy.

Findings – It finds that the degree of interconnectivity in transportation networks is a more robust determinant of restraint among violent actors than the sheer strength of rural–urban linkages. Production networks characterized by highly networked road systems are more likely to incent restrained behavior among rebel groups, which may be dependent on taxation or extortion through obstruction.

Limitations/implications – The chapter quantitatively analyzes a phenomenon, but does not identify causal mechanisms driving it. The policy implication is that providing transportation infrastructure within rural areas may be a more effective guard against insurgent violence than connecting urban and rural areas.

Originality – The chapter makes a methodologically unique link between the large existing literature on rural–urban linkages, and the growing literature on trade networks in violent conflict.

In this chapter, I reflect on the foundations of the “fair policing from the inside out” approach to identify elements that may complement and refine this theoretical framework.

I address the question of how fair policing can be achieved from a multidisciplinary perspective. Insights and empirical evidence from criminology, psychology, management, and political science/public administration are used to theorize the relationship between internal and external procedural justice.

Both the theoretical framework itself and the conceptual model that has been derived from it are refined. In total, four aspects are elaborated: (1) I stress more explicitly the potential mediating role of moral alignment with citizens; (2) I point more explicitly at the potential mediating role of trust in supervisors and moral alignment with supervisors; (3) I hypothesize that strain/stress may mediate the relationship between internal and external procedural fairness; and (4) I hypothesize several links between mediators.

This chapter contributes to the challenge of theorizing the origins of fair policing. It aims at widening the scope of police research.

The Convention on Preventing and Combating Violence against Women and Domestic Violence was adopted by the Council of Europe and opened for signature in Istanbul in 2011 (the Istanbul Convention). The Istanbul Convention offers a treaty-level protection against domestic violence to all people, including LGBTQs, that is, lesbian, gay, bisexual, transgender, and queer persons. Intimate partner violence (IPV) occurs in same-sex relationships as well as different-sex relationships. In addition, LGBTQ persons face the risk of violence in homophobic and transphobic family environments. The Istanbul Convention has faced significant backlash, a process driven by the global anti-feminist movement that also calls for the protection of traditional family values. In the Convention, “gender” is described as “the socially constructed roles, behaviours, activities and attributes that a given society considers appropriate for women and men” (Article 3(c)). The opponents of the Convention suggest that gender roles are not “given” by the society but inherent in different natures of women and men. The dissatisfaction of many States, such as Bulgaria, Armenia, Ukraine, and so on, is related to the perceived excessiveness of rights given to LGBTQ persons in the Istanbul Convention. This research paper sets aside the issue of political campaigning against the Convention in Eastern Europe, which has already been well reported. Instead, it aims to reveal how the protection against domestic violence under the Convention raises normative, conceptual, and substantive challenges in States entrenching the ideology of traditional family values in law.

This chapter seeks to shed light on the many factors that contribute to people becoming school shooters. These factors are divided into four domains: biological, psychological, social, and cultural. At the biological level, this chapter explores the potential influence of genetics, pre- and post-natal development, and body-related issues that may affect the perpetrators' sense of self. A psychological typology is presented, consisting of psychopathic, psychotic, and traumatized school shooters. Socially, school shooters often have multiple setbacks, failures, and rejections that contribute to their distress. Finally, the cultural domain includes such factors as media violence, role models for killing, and ideologies of hatred and supremacy. Rather than attributing school shootings to a simplistic cause such as bullying, this chapter discusses a wide range of potential influences that combine to cause mass attacks at schools.