Racial and ethnic disparities in police-reported intimate partner violence perpetration: a mixed methods approach

The objectives of this study were to examine racial and ethnic disparities in perpetrator and incident characteristics and discrepancies between police charges and reported perpetrator behaviors in police-reported intimate partner violence (IPV). This cross-sectional study used standardized police data and victim narratives of IPV incidents reported to the police in Dallas, Texas in 2004. The sample included non-Hispanic White, non-Hispanic Black, and Hispanic male perpetrators who were residents of Dallas (N = 4470). Offense charges were prioritized in descending order: sexual assault, aggravated assault, simple assault, kidnapping, robbery, and intimidation. Textual data from the victim narratives were coded, based on the revised Conflict Tactics Scales (CTS), and categorized in descending order of priority: sexual (severe, minor), physical (severe, minor), and psychological (severe, minor) assault. Perpetrators were more likely to be Black and Hispanic. Perpetrator and incident characteristics varied significantly by race/ethnicity, particularly age, age difference between partners, marital status, injury, and interracial relationships. Qualitative data revealed that greater proportions of Black and Hispanic men perpetrated severe physical, but not sexual violence, compared with White men. The greatest disparity between CTS categories and police charges occurred among those cases identified by the CTS as severe physical IPV; 84% were charged with simple assault. Significant differences by race/ethnicity were found only for simple assault charges, which were coded as severe physical as opposed to minor physical IPV more often among Black (69% and 31%) compared with White (62% and 38%) men. The disparities revealed in this study highlight the need to enhance primary and secondary prevention efforts within Black and Hispanic communities and to increase linkages between police, community, and public health organizations.     

Intervention Induced Changes on Parenting Practices,Youth Self-Pride and Sexual Norms to Reduce HIV-Related Behaviors Among Rural African American Youths

AIDS is the leading killer of African Americans between the ages of 25 and 44, many of whom became infected when they were teenagers or young adults. The disparity in HIV infection rate among African Americans youth residing in rural Southern regions of the United States suggests that there is an urgent need to identify ways to promote early preventive intervention to reduce HIV-related risk behavior. The Strong African American Families (SAAF) program, a preventive intervention for rural African American parents and their 11-year-olds, was specially designed to deter early sexual onset and the initiation and escalation of alcohol and drug use among rural African American preadolescents. A clustered-randomized prevention trial was conducted, contrasting families who took part in SAAF with control families. The trial, which included 332 families, indicated that intervention-induced changes occurred in intervention-targeted parenting, which in turn facilitated changes in youths’ internal protective processes and positive sexual norms. Long-term follow up assessments when youth were 17 years old revealed that intervention-induced changes in parenting practices mediated the effect of intervention-group influences on changes in the onset and escalation of risky sexual behaviors over 65 months through its positive influence on adolescents’ self-pride and their sexual norms. The findings underscore the powerful effects of parenting practices among rural African American families that over time serve a protective role in reducing youth’s risk behavior, including HIV vulnerable behaviors.     

Food insecurity negatively impacts academic performance

Recent research has documented high rates of food insecurity among university students, particularly students in their first year. Food insecurity among university students has been linked to poorer self‐reported health and academic outcomes. However, few studies have linked reports of food insecurity to objective student outcomes. In this study, we examine how food insecurity is associated with first‐year university students' (n = 591) academic performance, adjusting for objective measures of high school academic performance and self‐reported indicators of socioeconomic background. Zero‐ and one‐inflated beta regression was used to examine if food insecurity predicted grade point average (GPA) in the fall 2015 and spring 2016 semesters. Logistic regression was used to determine if food insecurity at the end of the fall 2015 and spring 2016 semesters was a predictor of retention to fall 2016. Food‐insecure students had a significantly lower GPA than food‐secure students. In fall 2015, 59% of food‐insecure students obtained at least a “B” grade (GPA = 3.00); our models suggest this percentage would increase to 72% if these same students were food secure. Food‐insecure students were less likely to be enrolled in fall 2016 than food‐secure students (OR = 0.72, 95% CI [0.41, 1.27]), though this difference was not statistically significant. These results indicate that food insecurity negatively impacts first‐year university students' academic performance, even after adjusting for high school academic performance and socioeconomic background. Students GPA, and potentially university retention rates, may increase if food insecurity on campus is minimized.     

Silencing Bad Bots: Global,Legal and Political Questions for Mean Machine Communication

As digital automation expands across social contexts, the way in which legal systems respond when algorithms produce lies and hate presents a pressing policy problem. Search results, autofill suggestions, and intelligent personal assistants generate seemingly objective information for users in order to be helpful, efficient or fun but, as social technologies, can also produce prejudicial and false content. Chatbots and trending lists have made headlines for quickly being transformed from sweet to spiteful and political to inaccurate. As humans progressively engage with and rely on machine communication, the legality of algorithmically created information that harms the reputation or dignity of an individual, entity or group is a policy question posed and answered differently around the world. This article compares various defamation and hate speech laws through the lens of algorithmic content production – mean machine communication – and presents a set of outstanding issues that will require international and interdisciplinary attention.     

Research by Not-for-Profit Enterprises

The Journal of Technology Transfer - This paper focuses on the research behavior of nonprofit firms. In particular, we model process innovation and compare equilibrium research spending under...