With the extension and expansion of P-EBT during COVID and the Food and Nutrition Service releasing new guidance, states have an opportunity to effectively deliver essential resources to children and families. Code for America built this toolkit of resources to share recommendations and promising practices around the implementation of P-EBT and to support state agencies and partners tasked with the development of P-EBT programs.
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
Using low-code/no-code tools successfully requires knowing how to pick the right tool and knowing the kind of challenges that merit calling in a technical team for consultation and advice.
Applying UX research methods, the City of San Jose worked to improve how low-income and non-English speaking residents engaged with My San Jose, a website and mobile app for residents to report neighborhood issues to cities. They used a Spanish and Vietnamese translator to conduct interviews with target users, then detailed major findings and corresponding recommendations in this report.
This report contributes to the quantitative measurement of psychological burdens by examining a case study of a single social program: the Supplemental Nutrition Assistance Program, by considering new quantitative measures of the psychological burdens faced by SNAP applicants.
Takeaways from a workshop focusing on applying human-centered design to government artificial intelligence (AI) projects, led by Elham Ali, Researcher from the Beeck Center for Social Impact and Innovation.
This report presents evidence on the use of algorithmic accountability policies in different contexts from the perspective of those implementing these tools, and explores the limits of legal and policy mechanisms in ensuring safe and accountable algorithmic systems.
