In this video, Susan S. Gibson, chair of the Pandemic Response Accountability Committee's (PRAC) Identity Fraud and Redress Working Group, speaks with Jeremy Grant of the Better Identity Coalition, about the challenges of identity fraud for benefits program during the COVID-19 pandemic.
Digitizing public benefits policy will make the biggest impact for administrators and Americans, but only if it happens at the highest level of government.
APHSA explains how certain tools and recommendations about when people apply for help, engage in services, and maintain benefits can have a powerful effect to either counter or exacerbate structural barriers to accessing assistance.
American Public Human Services Association (APHSA)
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.
There are frameworks available that could inform the standardization of communicating rules as code for U.S. public benefits programs. The Airtable communicates the differences between the frameworks and tools. Each entry is tagged with different categories that identify the type of framework or tool it is.
PolicyEngine US is a Python-based microsimulation model of the US tax and benefit system. It models federal individual income taxes (including credits), major benefit programs, and state income taxes (currently in six states). The PolicyEngine US package can be used as a Python package, via the PolicyEngine API, or via the policyengine.org web app.
Executive Order 13985, titled "Advancing Racial Equity and Support for Underserved Communities Through the Federal Government," was issued by President Joe Biden on January 20, 2021, to promote equity across federal agencies.
