In addition to facing the stresses of migration and acculturation, foreignborn children in the United States are disproportionately poor and limited in their knowledge of English (Hernandez & Charney, 1998; see also Chapter 1, this volume). Yet many quantitative and ethnographic studies on the schooling of immigrants indicate that they perform as well as or better than their native-born peers who have similar socioeconomic and racial-ethnic profiles (e.g.

This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

No abstract

Violent exposure among low-income, Black youth has reached alarming rates. Using administrative data that centers racial equity to understand risk factors and aid in prevention is a promising approach to address this complex problem. Medical records were linked to a comprehensive county-level integrated data system using a case–control design. Chi-square tests, T -tests, and multivariate logistic regression assessed for between and within group differences among (1) youth who presented to an emergency department ( N = 429) with an assault or gunshot wound (GSW) and a matched sample of non-injured youth ( N = 5000); and, (2) youth with GSW injuries ( N = 71) compared to assault injuries ( N = 358). Injured youth present with greater early adversity, trauma, and prolonged poverty compared to non-injured peers. Youth with GSW injuries differ from assault in several key ways. An ecosystem of care is needed to address the multifaceted causes of Black youth’s severe violence exposure that are rooted in systemic racism and poverty. Integrated data using a racial equity lens can help to illuminate opportunities in this ecosystem of care. Supplementary Information The online version contains supplementary material available at 10.1007/s40615-022-01365-9.

Pay for Success (PFS) interventions are increasingly being implemented in the U.S. and worldwide to assess social programs under a risk-sharing financial agreement between the public and private sectors. They seek to mitigate risk for the public sector and promote wider experimentation of programs to improve social outcomes.  PFS contracts encourage coordination and alignment of goals, outcomes, and metrics across all agents involved - government, service providers, service recipients, funders and investors. Accordingly, these interventions rely heavily on access to high quality data and analysis, making integrated data systems (IDS) valuable assets to support the design, implementation, and evaluation phases of these projects.   The ChildHood Integrated Longitudinal Data (CHILD) System, one of the most comprehensive county-level IDS in the nation, has been used to support and inform two Pay for Success projects in Cuyahoga County (Cleveland). Partnering for Family Success is a county-level intervention in the areas of child welfare and housing instability, now into its fourth year of operation. While the intervention was implemented under a randomized controlled trial, analysis with CHILD proved instrumental to inform the project design and address challenges in program implementation. CHILD has also been used to study the feasibility of PFS as a model to expand high quality preschool, under a grant awarded to eight communities nationally. A case study of both initiatives will be presented, highlighting the role of integrated data in supporting and facilitating PFS design and analysis of outcomes, challenges encountered and lessons learned.