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.
This HuffPost article investigates the widespread failures of state unemployment websites during the COVID-19 pandemic, highlighting outdated technology, accessibility issues, and the human impact of these systemic breakdowns.
This article examines how outdated state unemployment insurance (UI) systems struggled during the COVID-19 pandemic, leading to delays, technical failures, and widespread frustration for job seekers.
This post argues that for the types of large-scale, organized fraud attacks that many state benefits systems saw during the pandemic, solutions grounded in cybersecurity methods may be far more effective than creating or adopting automated systems.
This resource provides guidance on streamlining enrollment across public benefit programs to improve efficiency, reduce administrative burdens, and enhance access for eligible individuals and families.
This report by EPIC investigates how automated decision-making (ADM) systems are used across Washington, D.C.’s public services and the resulting impacts on equity, privacy, and access to benefits.
This proposal recommends a set of new federal performance standards that would measure and improve UI access. The proposal is intended to supplement existing federal UI standards, but all UI standards and metrics should be periodically reevaluated and updated as the conditions facing unemployed workers and benefit delivery change.
The NYC Benefits Screening API provides machine-readable calculations and criteria for benefits screening that power the ACCESS NYC screening questionnaire.
In response to COVID-19, the Workers Lab and Steady developed the "Income Passport" to streamline gig workers' unemployment benefit applications by pulling income data directly from gig platforms and financial accounts. This tool reduced manual verification time, helped prevent fraud, and improved workers' access to full benefits, with successful tests in Alabama and Louisiana demonstrating significant time savings and improved service delivery.
Learn how to use generative AI to quickly create unemployment insurance translations that are accurate, easy to understand, and tailored to your state.
Through deeply reported case studies and insights from focus groups, this report provides an in-depth look at the impact of pandemic-era government spending on families.
