FNS evaluations of Summer EBT programs show significant reductions in childhood food insecurity, but some eligible households do not fully redeem benefits.
What exactly are the differences between generative AI, large language models, and foundation models? This post aims to clarify what each of these three terms mean, how they overlap, and how they differ.
Center for Security and Emerging Technology (CSET)
The New Jersey Department of Human Services and New Jersey Department of Health collaborated in their Coordinating SNAP & Nutrition Supports project to enhance the enrollment and coordination of SNAP and WIC programs.
American Public Human Services Association (APHSA)
In May 2020, Stanford's HAI hosted a workshop to discuss the performance of facial recognition technologies that included leading computer scientists, legal scholars, and representatives from industry, government, and civil society. The white paper this workshop produced seeks to answer key questions in improving understandings of this rapidly changing space.
This report examines how implementing Asset Verification Systems (AVS) can streamline Medicaid eligibility determinations for seniors and individuals with disabilities by automating the verification of applicants' financial assets.
This report explores technologies that have the potential to significantly affect employment and job quality in the public sector, the factors that drive choices about which technologies are adopted and how they are implemented, how technology will change the experience of public sector work, and what kinds of interventions can protect against potential downsides of technology use in the public sector. The report categories technologies into five overlapping categories including manual task automation, process automation, automated decision-making systems, integrated data systems, and electronic monitoring.
This Urban Institute article argues that poverty is driven by structural barriers rather than individual choices and advocates for safety net programs that address systemic inequities.
SNAP Waivers and Adaptations During the COVID-19 Pandemic: A Survey of State Agency Perspectives in 2020 is a study conducted by the Johns Hopkins Institute for Health and Social Policy (IHSP) based at Johns Hopkins Bloomberg School of Public Health and the American Public Human Services Association (APHSA). This research seeks to understand perspectives from state SNAP administrators on the successes, challenges, and lessons learned from waivers and flexibilities used to preserve equitable access to SNAP during the COVID-19 pandemic. Based on state agency survey responses, this report summarizes key findings from the first calendar year of pandemic response and provides policy considerations for the future of SNAP. This research was supported by Healthy Eating Research, a national program of the Robert Wood Johnson Foundation.
Johns Hopkins Institute for Health and Social Policy
This report examines how state governments organize and manage human services programs, analyzing various agency structures and their impact on service delivery and coordination with the health care sector.
This report explores how despite unresolved concerns, an audit-centered algorithmic accountability approach is being rapidly mainstreamed into voluntary frameworks and regulations.
This report puts forth an anti-racist reimagining of Medicaid and CHIP that actively reckons with the racist history of the Medicaid program and offers principles and recommendations that capitalize on the transformative potential of the programs. The principles center the voices and agency of program participants and prioritize direct community involvement at all stages of the policy process.
