Creating content that is easily accessible for social safety net benefit applicants and recipients can require a range of expertise and input from policy experts, communications leads, designers, and software developers. However, this task need not be as daunting as it seems. This guide discusses general characteristics shared by organizations that have successfully created accessible content, and includes case studies that showcase characteristics of successful accessible content teams.
Complex benefits information creates unnecessary barriers for residents and navigators who must understand what’s relevant to them so they can receive benefits. For non-native English speakers, these barriers are exacerbated. This resource guide outlines approaches for translating content to improve equitable access to benefits.
Drawing on the Beeck Center’s research on government, nonprofit, academic, and private sector organizations that are working to improve access to safety net benefits, this report highlights best practices for creating accessible benefits content.
A case study of the Hawai‘i Career Acceleration Navigator — an accessible, data-driven and full-service government platform for unemployed people and other jobseekers to search for jobs and access supportive service benefits.
This report outlines key lessons and recommendations from Code for America's collaboration with the Voluntary Income Tax Assistance program, which served over 800,000 clients via GetYourRefund.org.
This report outlines strategies to reduce administrative burdens and expand Medicaid participation and advance racial and health equity. The report also offers historical context on Medicaid eligibility.
Passing a major new social program like paid family and medical leave (PFML) is only the first step in creating change. To achieve real impact, PFML programs must be well implemented — and as more and more states pass PFML programs, the urgency of such good implementation has never been higher. In 2019, New America staffed a discovery sprint team to explore New Jersey’s pioneering PFML program, using a mixture of beneficiary interviews, data analysis, and business processing mapping. Based on that research, this report outlines key implementation learnings for administrators in other states, focusing on: (a) communicating about PFML, (b) outreach strategies, (c) applications and processing, and (d) IT infrastructure.
As family’s earnings rise, those earnings increases are often offset by declines in public assistance benefits (commonly called “benefit cliffs” when the declines are sharp) and increases in taxes owed. At the same time, refundable tax credits—which offset taxes owed and are delivered as a tax refund—can boost income. These interactions can be confusing and make it difficult for parents to anticipate how increasing their work hours, hourly wage rate, or both will affect their benefits, taxes, and income to support their families. This study estimates what happens to benefits and taxes when earnings increase and also explores how people perceive public benefit interactions, trade-offs, and benefit cliffs as they increase their work hours or earn higher wages.
This toolkit is designed to help state and local WIC agencies leverage data from Medicaid and SNAP to measure enrollment gaps and increase enrollment using tools to plan, launch, and/or strengthen data matching and targeted outreach to eligible families who are not receiving WIC benefits.
Code for America’s Integrated Benefits Initiative has been working in partnership with the State of Colorado to demonstrate how user-centered approaches lead to measurably better delivery of safety net programs. This article describes their work with the state of Colorado in simplifying how clients report common life changes that can affect their eligibility.
Code for America CEO introduces the Safety Net Innovation Lab in a TED Talk, their initiative to work with state governments to reimagine and rebuild delivery of accessible and equitable benefits. This article also includes the video of Renteria’s talk and a transcript.
