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 project portfolio page details a human-centered service design partnership with the Michigan Unemployment Insurance Agency (UIA) to revitalize and streamline the state's unemployment benefits system following crisis-level strain.
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.
ACCESS NYC is an online public screening tool that residents can use to determine the City, State, and Federal health and human service benefit programs for which they are eligible.
The NYC Mayor’s Office for Economic Opportunity (NYC Opportunity) developed the NYC Benefits Platform, including ACCESS NYC, to help residents easily discover and check eligibility for over 80 social programs.
This section of the Building Resilience plan outlines strategies to help states modernize outdated unemployment insurance (UI) IT systems, making them more modular, secure, fraud-resistant, and user-centered.
This article highlights how state unemployment insurance (UI) agencies are leveraging data to modernize systems and enhance access for unemployed workers.
This article shares insights from Minnesota-based focus groups, revealing that low-income women navigating unemployment insurance often face confusion and uncertainty around eligibility, complex administrative processes, and additional challenges related to childcare, housing stability, and mistrust of benefit systems.
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.
This report investigates how D.C. government agencies use automated decision-making (ADM) systems and highlights their risks to privacy, fairness, and accountability in public services.
