This report highlights 5 key takeaways from the Aspen Institute Financial Security Program's 2022 Benefits Forum, where 55 experts from various sectors discussed solutions for improving public and private benefits to better support workers and their families.
This explores how tax credit systems can be redesigned to better meet the needs of families, especially those facing systemic barriers to filing and receiving benefits.
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)
A practical framework from the UK Infrastructure and Projects Authority that helps government leaders plan, lead, and deliver complex transformation programs.
The Digital Service Network (DSN) spoke with three staff members from the Digital Transformation Team in Montgomery County Public LIbraries—Maddie Schellhardt, Raymond Bryson, and Emily Lamancusa, to learn more about the county's efforts to advance digital service delivery and inclusion
A guide by New America to help cities and states set up cash assistance programs for their residents, based on the Alia Cares platform that the National Domestic Workers Alliance built to run their Coronavirus Cares Fund that provides emergency assistance for home care workers to support them in staying safe and at home to slow the spread of COVID.
The study investigates how state agencies administering SNAP comply with Title VI of the Civil Rights Act by providing language access for individuals with limited English proficiency (LEP).
An overview of current technology systems used by WIC agencies nationwide, highlighting trends, challenges, and opportunities for modernization to improve program efficiency and participant experience.
In February 2023, the Digital Benefits Network at the Beeck Center for Social Impact + Innovation released a dataset documenting authentication and identity verification requirements that unemployment insurance (UI) applicants encounter across the United States. This resource outlines high-level observations from the data and more information about the research process.