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Interview with Jeff Hutcheson, Director of Advocacy & Public Policy at TESOL International Association
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Adopting the Standard Medical Deduction Increased State SNAP Enrollment and Benefits
Get PDFThe Supplemental Nutrition Assistance Program (SNAP) is a critical safety net program that helps reduce food insecurity among low-income households in the United States. However, many eligible households do not participate in SNAP due to burdensome administrative requirements. To make it easier for more older adults and people with disabilities to participate in SNAP, many states have adopted the Standard Medical Deduction (SMD) to simplify administrative requirements. This brief summarizes findings from a study that examined the associations between state SMD adoption and SNAP participation and benefits from 2004 to 2019
Social Media as Fragile State
Get PDFSocial media platforms are grappling with how to respond to hate speech, misinformation, and political manipulation in ways that address human rights, free speech, and equality. As independent ‘states’, they are enacting their own rules of conduct, deriving their own ‘laws’, convening their own extrajudicial self regulatory institutions, and making their own interpretations and enactments of human rights. With the rise of social states such as Facebook, TikTok, X (formerly Twitter) and Reddit, how fragile are they in their ability to achieve outcomes of fair, equitable and consistent application of their own laws? Could an assessment of the fragility of these social states help identify areas of focus for stability in design, use and operation of social media platforms? What indicators would measure such fragility? This paper draws on the Fund For Peace Fragility State Index for parallels in social media to detail, measure and understand issues of platform precariousness, governance, and support of human rights
The Bradley-Terry Model in Binary Outcome Driven Rankings: An Apllication in Amateur Hockey
Get PDFRanking systems serve critical roles in sport settings, most notably in determining playoff participants and seeding. Numerous ranking methodologies exist that incorporate many input measures and produce models that are highly predictive of game outcomes. However, there are circumstances—especially for amateur sport leagues—in which more complex inputs are either unavailable or not desirable, as they may lead to adverse performance incentives. Therefore, the goal of this paper is to highlight a ranking methodology that only considers binary game outcomes, i.e., wins and losses. Specifically, we consider the efficacy of the Bradley-Terry Model to rank sport teams for playoff consideration. We apply this method as a case study to the New England Prep School Ice Hockey Association (NEPSIHA), and compare the accuracy of their current ranking system to the Bradley-Terry model using simulation methods. We show that Bradley-Terry significantly outperforms NEPSIHA’s current method, especially when teams face unbalanced strengths of schedule. This result holds under various league competitive balance distributions