The U.S. Department of Labor is working with states, territories, and the public to develop strategies to continuously improve the nation’s unemployment insurance (UI) systems.
The report discusses how state Medicaid agencies can enhance efficiency and maintain coverage for eligible individuals by implementing ex parte renewals, which automatically renew beneficiaries' coverage using existing data without requiring action from enrollees.
Biometric identification technologies—such as facial recognition and fingerprinting—can affect underserved communities, including low-income and minority communities. GAO interviewed academics, advocacy groups, and technology experts to find out how.
The 2021 President’s Management Agenda identified federal customer experience as a priority area for improvement. GAO was asked to review OMB and selected federal agencies’ efforts to improve federal customer experience.
This Issue Spotlight explores the challenges that recipients of public benefits programs offering cash assistance encounter in accessing funds through financial products or services, with a specific focus on assistance provided on prepaid cards.
This study evaluates the use of RPA technology by three states to automate SNAP administration, focusing on repetitive tasks previously performed manually.
This webpage from the U.S. Department of Labor (DOL) provides guidance on improving mobile usability for Unemployment Insurance (UI) systems to enhance customer experience and accessibility.
Starting November 1, 2023, the Centers for Medicare & Medicaid Service (CMS) began asking three new optional sexual orientation and gender identity (SOGI) questions on the single, streamlined application developed by the Secretary. This guidance gives instructs states on the process for modifying SOGI questions in their applications.
This post introduces EPIC's exploration of actionable recommendations and points of agreement from leading A.I. frameworks, beginning with the National Institute of Standards and Technology's AI Risk Management Framework.
A practical, research-based handbook from The Lab @ DC that teaches public servants how to redesign confusing government forms through user-centered, evidence-based design methods.
