2 research outputs found

    The Roots of the Widening Racial Wealth Gap: Explaining the Black-White Economic Divide

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    Growing concerns about wealth inequality and the expanding racial wealth gap have in recent years become central to the debate over whether our nation is on a sustainable economic path. This report provides critical new information about what has fueled the racial wealth gap and points to policy approaches that will set our country in a more equitable and prosperous direction.Looking at the same set of families over a 25-year period (1984-2009), our research offers key insight into how policy and the real, lived-experience of families in schools, communities, and at work affect wealth accumulation. Tracing the same households during that period, the total wealth gap between white and African-American families nearly triples, increasing from 85,000in1984to85,000 in 1984 to 236,500 in 2009. To discover the major drivers behind this dramatic $152,000 increase, we tested a wide range of possible explanations, including family, labor market, and wealth characteristics. This allowed us, for the first time, to identify the primary forces behind the racial wealth gap. Our analysis found little evidence to support common perceptions about what underlies the ability to build wealth, including the notion that personal attributes and behavioral choices are key pieces of the equation. Instead, the evidence points to policy and the configuration of both opportunities and barriers in workplaces, schools, and communities that reinforce deeply entrenched racial dynamics in how wealth is accumulated and that continue to permeate the most important spheres of everyday life

    Clinical Translation of Quantitative Magnetic Resonance Imaging Biomarkers – an Overview and Gap Analysis of Current Practice

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    PURPOSE: This overview of the current landscape of quantitative magnetic resonance imaging biomarkers (qMR IBs) aims to support the standardisation of academic IBs to assist their translation to clinical practice. METHODS: We used three complementary approaches to investigate qMR IB use and quality management practices within the UK: 1) a literature search of qMR and quality management terms during 2011-2015 and 2016-2020; 2) a database search for clinical research studies using qMR IBs during 2016-2020; and 3) a survey to ascertain the current availability and quality management practices for clinical MRI scanners and associated equipment at research institutions across the UK. RESULTS: The analysis showed increased use of all qMR methods between the periods 2011-2015 and 2016-2020 and diffusion-tensor MRI and volumetry to be popular methods. However, the "translation ratio" of journal articles to clinical research studies was higher for qMR methods that have evidence of clinical translation via a commercial route, such as fat fraction and T2 mapping. The number of journal articles citing quality management terms doubled between the periods 2011-2015 and 2016-2020; although, its proportion relative to all journal articles only increased by 3.0%. The survey suggested that quality assurance (QA) and quality control (QC) of data acquisition procedures are under-reported in the literature and that QA/QC of acquired data/data analysis are under-developed and lack consistency between institutions. CONCLUSIONS: We summarise current attempts to standardise and translate qMR IBs, and conclude by outlining the ideal quality management practices and providing a gap analysis between current practice and a metrological standard
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