This issue brief illustrates the challenges that many older adults with low income face in gaining access to benefits online. It addresses digital literacy, access to broadband internet, and the increasing prevalence of connecting online to SNAP.
This report explores the Maine Department of Labor’s (MDOL) remarkable response to this layoff through collaboration with the Peer Workforce Navigator project—a coalition of community-based organizations in partnership with the MDOL—which made a huge difference in the lives of these laid off workers. The report also examines aspects of the state’s unemployment insurance (UI) system that might be improved to account for similar situations in the future.
Expanding access to free tax assistance through virtual Volunteer Income Tax Assistance (VITA) programs can help low-income filers claim essential tax benefits without incurring preparation fees.
This analysis explores the dual nature of mobile state IDs, highlighting their potential to enhance digital identity verification while raising significant privacy and equity concerns.
This presentation from Steph White, Cross Enrollment Coordinator at the Michigan Department of Health and Human Services offers an in-depth example on implementing cross enrollment with WIC and general tools for cross enrollment.
Differing federal requirements for public benefit applications create significant barriers for applicants and complicate state efforts to integrate services.
In response to the COVID-19 crisis, the federal government authorized a new emergency program, Pandemic EBT (P-EBT), to replace school meals with money for groceries while schools are closed. Code for America describes its efforts to launch an accessible, online P-EBT application under an accelerated timeline due to to immense demand caused by the pandemic.
This article describes the necessity of building an inclusive research environment that empowers participants, as well as techniques for creating such environments in both in-person and remote capacities.
This guide, directed at poverty lawyers, explains automated decision-making systems so lawyers and advocates can better identify the source of their clients' problems and advocate on their behalf. Relevant for practitioners, this report covers key questions around automated decision-making systems.
