This resource provides an overview of the Supplemental Nutrition Assistance Program Employment & Training (SNAP E&T) program, highlighting state implementation strategies, funding mechanisms, and policy opportunities to strengthen workforce participation among SNAP recipients.
American Public Human Services Association (APHSA)
Benefits Data Trust (BDT), in collaboration with the Center for Health Care Strategies (CHCS), conducted a nationwide analysis of how states coordinate across Medicaid and SNAP programs to streamline access to benefits.
In this webinar, a panel of experts discuss what states can do right now to improve EBT security, how to use data to analyze theft patterns, and how EBT payment technology needs to evolve to ensure efficiency, security, and dignity for beneficiaries.
Code for America offers government agencies a general overview of getting started with implementing text messaging services for clear, responsive communication during the COVID-19 pandemic.
This booklet is designed to help procurement officers and other stakeholders ensure continuity of service, enable seamless future technology upgrades, and plan for contingencies. You can use it to evaluate a prospective vendor contract or bid, or to document how a project went.
This report explores how despite unresolved concerns, an audit-centered algorithmic accountability approach is being rapidly mainstreamed into voluntary frameworks and regulations.
This article examines how applying a Racial Equity Framework reveals systemic inequities in the Earned Income Tax Credit (EITC) program, offering insights into barriers faced by marginalized communities and potential solutions.
The Lost in the Labyrinth brief examines how fragmented early care and education (ECE) programs across the U.S. create challenges for families seeking services for young children.
The primer–originally prepared for the Progressive Congressional Caucus’ Tech Algorithm Briefing–explores the trade-offs and debates about algorithms and accountability across several key ethical dimensions, including fairness and bias; opacity and transparency; and lack of standards for auditing.