This paper describes the policy choices, business practices, and technology innovations that the State of New Jersey is employing to ensure that the right people get benefits — accurately and on time.
U.S. Digital Response partnered with the Department of Labor to design a human-centered, low-code solution for efficient retroactive unemployment benefit determination.
The Unemployment Insurance Equitable Access Toolkit contains common equity recommendations, promising practices, and insights, represented visually as a different floor of an agency office building, compiled in one interactive document.
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.
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 dashboard highlights key performance indicators for UI systems nationwide, including how they perform during the current economic crisis, the impact of the CARES Act benefits expiring, the timeline for which benefits are delivered, demographics of benefits recipients, and total benefits payments.
This scoring matrix from the California Employment Development Department (EDD) shows how the agency evaluated vendor proposals for a new identity proofing approach, based on vendors' ability to serve different user personas.
State of California Employment Development Department (EDD)
This article examines how outdated state unemployment insurance (UI) systems struggled during the COVID-19 pandemic, leading to delays, technical failures, and widespread frustration for job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 guide is intended to provide everything else, with a focus on the basics of UI technology projects, guidance on standards for equitable uses of technology, and strategies for how to have a positive impact on these projects.
This GitHub repository includes resources that users of the UI wage data toolkit may find helpful. It covers a variety of topics, including equity, data security, programming, and data QC tips. It also serves as a place for our team to continue to post information that the TANF Data Collaborative (TDC) pilot sites found useful during our partnerships with them.
