The Sprint 2 Report: Michigan UI Claimant Experience by Civilla and New America examines challenges in Michigan’s unemployment insurance (UI) system and provides human-centered design recommendations to improve accessibility, clarity, and user experience.
It is necessary give the public servants who manage safety-net systems the technology tools and incentives to track critical outcomes and meet people where they are.
Created for use in the Digital Doorways research project, this design stimuli shows the steps of submitting an application, sharing personal information, and verifying identity for Arizona's online application for Unemployment Insurance.
NYC's My File NYC and New Jersey's unemployment insurance system improvements demonstrate how successful digital innovations can be scaled across various programs, leveraging trust-building, open-source technology, and strategic partnerships.
This toolkit is designed to assist state and local TANF agencies in accessing, linking, and analyzing employment data from unemployment insurance (UI) systems.
In this report, the Strike Team outlines its recommendations and suggested next steps for the EDD to address the backlog and improve on future processing of unemployment claims.
New America’s New Practice Lab discusses insights into racial inequities within the Unemployment Insurance System, and provides recommendations its framework for rectifying inequality in policies and programs moving forward.
This paper discusses the country’s chronic underinvestment in children and resulting outcomes, including new data on poverty rates among young children, is inextricable from the prospects of young children; and the remarkably comprehensive pandemic-era response policies, including which changes contributed most to reducing child poverty.
In this updated primer, the DBN describes how identity proofing and authentication show up in public benefits applications and outlines equity and security concerns raised by common identity proofing and authentication methods.
This quarterly research update aims to highlight key learnings related to improving unemployment insurance (UI) systems in the areas of equity, timeliness, and fraud, and monitor for model UI legislation and policy related specifically to technology. Subscribe to receive future editions.
The vast fraud committed through the use of stolen and synthetic identities in UI programs has spotlighted the need for updated identity fraud detection mechanisms. As states are implementing new technologies and systems, they need to consider the ways in which they are impacting racial inequities in UI benefits.
