This toolkit provides guidance for state and local WIC agencies on implementing digital tools to enhance participant engagement and streamline program operations.
This Urban Institute report identifies strategies to improve young people’s access to public benefits through targeted outreach, benefit navigation, cross-organizational partnerships, and streamlined eligibility processes.
This landscape analysis examines data, design, technology, and innovation-enabled approaches that make it easier for eligible people to enroll in, and receive, federally-funded social safety net benefits, with a focus on the earliest adaptations during the COVID-19 pandemic.
This report outlines strategies states can adopt to improve access to SNAP, Medicaid, and WIC programs by leveraging policy options, data coordination, and streamlined service delivery.
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)
This white paper documents Hawai'i's journey and lessons learned from their 18-month Coordinating SNAP and Nutrition Supports project which laid the foundation for interagency data-sharing and built capacity to analyze administrative data across nutrition programs--specifically SNAP and WIC.
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.
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.
This resource is a research paper examining the role of the public safety net in insuring job losers against income loss, analyzing which government programs provide financial support and how benefits vary based on pre-job loss income levels.
