Through deeply reported case studies and insights from focus groups, this report provides an in-depth look at the impact of pandemic-era government spending on families.
This report analyzes the current state of digital identity in the United States, outlines challenges such as privacy concerns, fragmented systems, and lack of standards, and proposes policy and technology solutions to build a secure, interoperable, and user-friendly national digital identity framework.
Information Technology & Innovation Foundation (ITIF)
This brief estimates of benefits, costs, interactions with other means tested programs, and impact on poverty for the paid family and medical leave program.
This guide explores intersectionality and why it is essential for advancing equity. It explores strategies for planning and conducting research with an intersectional lens, describes quantitative measures and methods to examine differences across groups of people with intersecting identities, and provides key considerations for using qualitative data to better understand intersectionality.
Office of the Assistant Secretary for Planning and Evaluation (ASPE)
A modernized public benefits system would better serve program participants, administrators, policy makers, and taxpayers. This paper proposes a set of principles both define the desired future state and outline the values that shape decision making along the way. Practices describe the processes needed to achieve modernization.
The report beings by briefly describing the challenge that disabled workers face in accessing UI and the benefits of reforming the system to better serve these workers. The report then presents a list of considerations for UI reform in the areas of administrative process and technology improvements as well as considerations for policy change.
This report examines the phenomenon of "churn" in public benefit programs, where eligible participants temporarily lose benefits due to administrative processes, analyzing its impact on both recipients and state agencies, and suggesting strategies to reduce its occurrence.
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.
The Commonwealth of Pennsylvania's Executive Order 2023-19: Expanding and Governing the Use of Generative Artificial Intelligence Technologies Within the Commonwealth of Pennsylvania
