Inland Northwest Insights

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The Inland Northwest Insights Hub was active between 2018 and 2022. It was a collaborative effort between regional grantmaking foundations, community health experts and social service providers that serve counties throughout the Inland Northwest. The Hub was supported by contributions from the Lewis-Clark Valley Healthcare Foundation, Syringa Hospital, Idaho Community Foundation, and Innovia Foundation.

Guidehouse

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CARES provided data to a healthcare strategy team at Guidehouse for analysis and use in a needs assessment.

Building Regional Resilience

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The Building Regional Resilience Hub provides communities across the nation with tools and resources to create and enact a resilience plan. Using a research-based index system, the Building Regional Resilience Hub helps communities easily identify and compare counties based on their relative resiliency and vulnerability to the country as a whole.

Boone County Food Insecurity

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Boone County Food Coalition brings together local stakeholders to address food insecurity in the Boone County area. CARES provided data acquisition and mapping services to the Coalition.

Police Stop Disparities Report

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This report examines racial disparity in Columbia (MO) Police Department traffic stops across age, sex, varying levels of geography, reasons for initiating post-stop searches, post-search outcomes, and factors that predict the likelihood that a stopped driver is Black. Disparity, discrimination, and racial bias in policing have been historically, and continue to be, an important policy issue.

Time’s Up Measure Up

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Time’s Up Measure Up is an multi-organization initiative from the Time’s Up foundation to combine quantitative and quantitative data to expose economic and other hardships facing women as a result of the COVID-19 pandemic and beyond. CARES performed data consultation to identify quantitative datasets to represent the TUMU conceptual framework. CARES then acquired data for 15+ metrics, relying on knowledge of existing secondary sources as well as custom survey data analysis.