This guide highlights approachable ideas for state and local public benefits agencies to improve applications, renewals, and correspondence. As outlined in this resource, even small improvements can be transformative for residents and caseworkers alike.
The existing system for evaluating state safety net programs does not adequately capture the human experience of accessing services. This new National Safety Net Scorecard is a more meaningful set of metrics that can effectively asses the true state of the current program delivery landscape and measure progress over time, creating a more human-centered safety net.
The Policy Rules Database (PRD), developed by the Federal Reserve Bank of Atlanta and the National Center for Children in Poverty, consolidates complex rules for major U.S. federal and state benefit programs and tax policies into a standardized, easy-to-use format. This database allows researchers to model public assistance impacts, simulate policy changes, and analyze benefits cliffs across various household scenarios using common rules and language across different programming platforms.
The U.S. Digital Response collaborated with a state workforce agency to develop a multilingual, user-friendly system for retroactive Pandemic Unemployment Assistance (PUA) applications, enhancing claimant comprehension and reducing administrative strain.
This report recommends updating the methodology used by the Census Bureau to calculate the Supplemental Poverty Measure (SPM) to reflect household basic needs and replace the current Official Poverty Measure as the primary statistical measure of poverty. The report assesses the strengths and weaknesses of the SPM and provides recommendations for updating its methodology and expanding its use in recognition of the needs of most American families such as medical care, childcare, and housing costs.
National Academies of Sciences, Engineering, and Medicine
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.
Code for America describes its work building the P-EBT online application and the consulting it provided to 10 states regarding implementing the program in a quick, effective, and human-centered way. Despite herculean efforts among human services and education agencies to get P-EBT off the ground, there were a few key technological, operational, and logistical barriers that consistently got in the way and hampered a smooth rollout of the program across the country.
This guide, directed at poverty lawyers, explains automated decision-making systems so lawyers and advocates can better identify the source of their clients' problems and advocate on their behalf. Relevant for practitioners, this report covers key questions around automated decision-making systems.
In response to the COVID-19 crisis, the federal government authorized a new emergency program, Pandemic EBT (P-EBT), to replace school meals with money for groceries while schools are closed. Code for America describes its efforts to launch an accessible, online P-EBT application under an accelerated timeline due to to immense demand caused by the pandemic.
