Community representation and policing: Effects on Black civilians.

Does increased representation of Black individuals in the police force lead to less aggressive policing of Black individuals? The current study uses a Chicago panel data set with monthly police unit observations between 2013 and 2015 to understand 1) how police units' representation of Black individuals affects the number of stops of Black residents and 2) how individual police officers patrol differently depending on the racial/ethnic background of co-working officers. Using fixed-effects negative binomial regression, we found that increasing racial congruence between police officers and the community being patrolled was associated over time with fewer stops of Black residents. Individual analyses showed that Black (vs.

The Role of Infant Health Problems in Constraining Interneighborhood Mobility: Implications for Citywide Employment Networks.

Infant health problems are a persistent concern across the United States, disproportionally affecting socioeconomically vulnerable communities. We investigate how inequalities in infant health contribute to differences in interneighborhood commuting mobility and shape neighborhoods' embeddedness in the citywide structure of employment networks in Chicago over a 14-year period. We use the Census Bureau's Longitudinal Employer-Household Dynamics' Origin-Destination Employment Statistics to analyze commuting networks between 2002 and 2015.

Connected in health: Place-to-place commuting networks and COVID-19 spillovers.

Biweekly county COVID-19 data were linked with Longitudinal Employer-Household Dynamics data to analyze population risk exposures enabled by pre-pandemic, country-wide commuter networks. Results from fixed-effects, spatial, and computational statistical approaches showed that commuting network exposure to COVID-19 predicted an area's COVID-19 cases and deaths, indicating spillovers. Commuting spillovers between counties were independent from geographic contiguity, pandemic-time mobility, or social media ties.

Socially Connected Neighborhoods and the Spread of Sexually Transmitted Infections.

Sexually transmitted infections (STIs) in the United States have been increasing at record levels and exhibit unequal spatial patterning across urban populations and neighborhoods. Research on the effects of residential and nearby neighborhoods on STI proliferation has largely ignored the role of socially connected contexts, even though neighborhoods are routinely linked by individuals' movements across space for work and other social activities. We showcase how commuting and public transit networks contribute to the social spillover of STIs in Chicago.

Creative Approaches for Assessing Long-term Outcomes in Children.

Advances in new technologies, when incorporated into routine health screening, have tremendous promise to benefit children. The number of health screening tests, many of which have been developed with machine learning or genomics, has exploded. To assess efficacy of health screening, ideally, randomized trials of screening in youth would be conducted; however, these can take years to conduct and may not be feasible.

An Ecological Model to Frame the Delivery of Pediatric Preventive Care.

Screening and surveillance are integral aspects of child health promotion and disease prevention. The American Academy of Pediatrics recommends that primary care clinicians screen children and adolescents for a broad array of conditions, conduct surveillance of growth and development, identify social determinants of health, and identify protective and risk factors that might impact health over time. However, access to and outcomes of preventive services vary based on features of children’s social ecology, including family and community contexts.

Modeling the Social and Spatial Proximity of Crime: Domestic and Sexual Violence Across Neighborhoods.

Objectives: Our goal is to understand the social dynamics affecting domestic and sexual violence in urban areas by investigating the role of connections between area nodes, or communities. We use innovative methods adapted from spatial statistics to investigate the importance of social proximity measured based on connectedness pathways between area nodes. In doing so, we seek to extend the standard treatment in the neighborhoods and crime literature of areas like census blocks as independent analytical units or as interdependent primarily due to geographic proximity.

Network spillovers and neighborhood crime: A computational statistics analysis of employment-based networks of neighborhoods.

Research on communities and crime has predominantly focused on social conditions within an area or in its immediate proximity. However, a growing body of research shows that people often travel to areas away from home, contributing to connections between places. A few studies highlight the criminological implications of such connections, focusing on important but rare ties like co-offending or gang conflicts.

Non-Stationary Model for Crime Rate Inference Using Modern Urban Data.

Crime is one of the most important social problems in the country, affecting public safety, children development, and adult socioeconomic status. Understanding what factors cause higher crime rate is critical for policy makers in their efforts to reduce crime and increase citizens' life quality. We tackle a fundamental problem in our paper: crime rate inference at the neighborhood level.

Neighborhood Isolation in Chicago: Violent Crime Effects on Structural Isolation and Homophily in Inter-Neighborhood Commuting Networks, 2002-2013.

Urban sociologists and criminologists have long been interested in the link between neighborhood isolation and crime. Yet studies have focused predominantly on the internal dimension of social isolation (i.e.

The Long Arm of Poverty: Extended and Relational Geographies of Child Victimization and Neighborhood Violence Exposures.

Current models of neighborhood effects on victimization predominantly assume that residential neighborhoods function independent of their surroundings. Yet, a surprising proportion of violence occurs outside of victims' residential neighborhoods. The current study extends on recent advances in spatial dynamics and neighborhood effects to explore the importance of different geographic scales and relational exposures to poverty for child violent victimization.

Moving to opportunity and mental health: Exploring the spatial context of neighborhood effects.

Studies of housing mobility and neighborhood effects on health often treat neighborhoods as if they were isolated islands. This paper argues that conceptualizing neighborhoods as part of the wider spatial context within which they are embedded may be key in advancing our understanding of the role of local context in the life of urban dwellers. Analyses are based on mental health and neighborhood context measurements taken on over 3000 low-income families who participated in the Moving to Opportunity for Fair Housing Demonstration Program (MTO), a large field experiment in five major U.

(Un)natural disaster: vulnerability, long-distance displacement, and the extended geography of neighborhood distress and attainment after Katrina.

After Hurricane Katrina, socioeconomically vulnerable populations were slow to return to their poor and segregated pre-disaster neighborhoods. Yet, very little is known about the quality of their post-disaster neighborhoods. While vulnerable groups rarely escape neighborhood poverty, some Katrina evacuees showed signs of neighborhood improvement.

Health Selection into Neighborhoods Among Families in the Moving to Opportunity Program.

Moving to Opportunity for Fair Housing was a randomized experiment that moved very low-income US families from high-poverty neighborhoods to low-poverty neighborhoods starting in the early 1990s. We modeled report of a child's baseline health problem as a predictor of neighborhood outcomes for households randomly assigned to move from high- to low-poverty neighborhoods. We explored associations between baseline health problems and odds of moving with the program upon randomization (1994-1997), neighborhood poverty rate at follow-up (2002), and total time spent in affluent neighborhoods and duration-weighted poverty.

Urban Poverty and Neighborhood Effects on Crime: Incorporating Spatial and Network Perspectives.

Research on neighborhoods and crime is on a remarkable growth trajectory. In this article, we survey important recent developments in the scholarship on neighborhood effects and the spatial stratification of poverty and urban crime. We advance the case that, in understanding the impact of neighborhoods and poverty on crime, sociological and criminological research would benefit from expanding the analytical focus from residential neighborhoods to the individuals are exposed to during their daily routine activities.

Spatial Heterogeneity in the Effects of Immigration and Diversity on Neighborhood Homicide Rates.

This paper examines the connection of immigration and diversity to homicide by advancing a recently developed approach to modeling spatial dynamics-geographically weighted regression. In contrast to traditional global averaging, we argue on substantive grounds that neighborhood characteristics vary in their effects across neighborhood space, a process of "spatial heterogeneity." Much like treatment-effect heterogeneity and distinct from spatial spillover, our analysis finds considerable evidence that neighborhood characteristics in Chicago vary significantly in predicting homicide, in some cases showing countervailing effects depending on spatial location.