Well-designed, user-focused tools that allow for simple application are key to ensuring that families most in need receive the Child Tax Credit. Reaching these households will require a robust effort from the IRS to create user-friendly tools in partnership with organizations with a direct connection to eligible recipients.
This report documents best practices and lessons learned from project streamlined data sharing between SNAP and WIC, enhancing cross-enrollment processes
American Public Human Services Association (APHSA)
The New Jersey Department of Human Services and New Jersey Department of Health collaborated in their Coordinating SNAP & Nutrition Supports project to enhance the enrollment and coordination of SNAP and WIC programs.
American Public Human Services Association (APHSA)
Californians who receive food assistance come from all backgrounds, but many share a similar story: they were barely getting by financially when they were tipped into crisis by an unexpected expense or loss of income. This site shares their stories.
County workers typically spend most of their time trying to get income information right during eligibility interviews. This article provides several recommendations for asking about income, accounting for cognitive biases, under-reporting, and complexities in reporting income.
Nava built flexible and reusable software and design components to make it easier for Vermonters to access their benefits. These components support Vermont’s long-term vision of integrating eligibility and enrollment processes for all of the state’s healthcare and financial benefit programs.
The team introduced an AI assistant for benefits navigators to streamline the process and improve outcomes by quickly assessing client eligibility for benefits programs.
This is the summary version of a report that documents four experiments exploring if AI can be used to expedite the translation of SNAP and Medicaid policies into software code for implementation in public benefits eligibility and enrollment systems under a Rules as Code approach.
