Erasing Red Lines: Part 3 - Building Community Wealth

Erasing Red Lines of discrimination and inequality from our map is a monumental task that will require transformational systems-change. As community-based organizations are demonstrating the possibilities of alternative systems in specific geographic places, the questions of (1) how to bring those efforts to scale, and (2) how public policies might change in response to the lessons learned from those efforts, require greater attention. Building on the previous installment of this series, this report engages with aspects of these two questions by: (a) further unpacking some of the beliefs, values, and goals that define the current economic system; (b) summarizing and synthesizing selected ideas from the literature to describe mental models that might underwrite a “next system”; and (c) relating a public policy case study from Buffalo, NY, in which a City-run program was redesigned to be a vehicle for bottom-up community empowerment as opposed to a tool for top-down command-and-control. The case study shows how the program redesign implicitly reflects, and explicitly embraces, some of the “next system” mental models that are outlined in the report. For these and other reasons, the program has received (inter)national recognition, and researchers have argued that it might offer budding insights for how local governments can begin reorienting their existing policies away from goals of growth that support the status quo, and toward goals of equity and community wealth-building. The report concludes with a summary of the case study’s practical lessons for policy development moving forward

The Demands of a Women\u27s College Soccer Season

The purpose of this study was to use GPS, accelerometers, and session rating of perceived exertion (sRPE) to examine the demands of a Division II women’s soccer team. Data was collected on 25 collegiate Division II women’s soccer players over an entire regular season (17 matches and 24 practices). ZephyrTM BioHarnesses (BHs) were used to collect tri-axial acceleration information and GPS derived variables for all matches and practices. Acceleration data was used to calculate Impulse Load, a measure of mechanical load that includes only locomotor related accelerations. GPS was used to quantify total distance and distance in six speed zones. Internal Training Loads were assessed via sRPE. Mean Impulse Load, total distance, and sRPE during match play was 20,120 ± 8609 N·s, 5.48 ± 2.35 km, and 892.50 ± 358.50, respectively. Mean Impulse Load, total distance, and sRPE during practice was 12,410 ± 4067 N·s, 2.95 ± 0.95 km, and 143.30 ± 123.50, respectively. Several very large to nearly perfect correlations were found between Impulse Load and total distance (r = 0.95; p < 0.001), Impulse Load and sRPE (r = 0.84; p < 0.001), and total distance and sRPE (r = 0.82; p < 0.001). This study details the mechanical demands of Division II women’s soccer match play. This study also demonstrates that Impulse Load is a good indicator of total distance