The Technology Transformation Service at GSA recently created a new Public Benefits Studio to focus on fostering a more cohesive, coordinated experience for the public, across programs.
In February 2023, the Digital Benefits Network at the Beeck Center for Social Impact + Innovation released a dataset documenting authentication and identity verification requirements that unemployment insurance (UI) applicants encounter across the United States. This resource outlines high-level observations from the data and more information about the research process.
The Digital Benefits Network at the Beeck Center for Social Impact + Innovation at Georgetown University and Public Policy Lab co-hosted a webinar presenting breaking research on beneficiary experiences with digital identity processes in public benefits.
This report outlines the U.S. Department of Labor’s comprehensive action plan to strengthen the unemployment insurance (UI) system by addressing chronic underfunding and proposing legislative reforms to support long-term modernization and resilience.
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.
In this panel conversation, presenters at the Better Identity Coalition’s 2022 policy forum “Identity, Authentication, and the Road Ahead” discuss the challenges of identity verification and access in pandemic unemployment benefits.
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 Massachusetts' online application for Unemployment Insurance.
This article highlights how state unemployment insurance (UI) agencies are leveraging data to modernize systems and enhance access for unemployed workers.
Errors in administrative processes are costly and burdensome for clients but are understudied. Using U.S. Unemployment Insurance data, this study finds that while automation improves accuracy in simpler programs, it can increase errors in more complex ones.
Through the ACCESS project, key collaborators have shared insights into current and future opportunities for alignment within their agencies, including potential enablers for and barriers to alignment activities.
American Public Human Services Association (APHSA)
Report by the Aspen Institute discussing Benefits21, a multi-stakeholder, multi-faceted initiative to integrate and modernize benefits systems. This paper provides an overview of Benefits21, along with a discussion of the shortcomings of current public and private benefit systems.