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.
An economic analysis estimating how recipients of emergency SNAP benefits during the pandemic allocated additional funds, primarily to food consumption.
In the Fall of 2022, the USDOL Office of Unemployment Insurance Modernization (OUIM) consulted with the Illinois Department of Employment Security (IDES) to provide hands-on support with IT modernization and customer experience strategy. Primary discussions focused on making informed product, service, and business decisions based on qualitative and quantitative data— how might IDES leverage existing data streams to identify the most pressing technology issues in their unemployment insurance system, and how might IDES act upon this information in a timely and impactful manner?
An evaluation report assessing the performance of “Consult,” an AI-powered tool developed by the UK government’s Incubator for AI (i.AI), to analyse public consultation responses for the Scottish Government.
Government of Scotland Department for Science, Innovation and Technology (DSIT)
This blog discusses the importance of phased rollouts for government software products, emphasizing the benefits of starting small, gathering real-world user feedback, and resolving issues before a full public release.
This brief explores the relationship between economic hardship and child welfare involvement, examining how direct cash transfers (DCTs) can reduce child maltreatment and strengthen family stability.
The study investigates how state agencies administering SNAP comply with Title VI of the Civil Rights Act by providing language access for individuals with limited English proficiency (LEP).
This report details findings and lessons from a project to develop a calculator to help people anticipate how a change in earnings from employment would affect their net income and information on their estimated effective marginal tax rate.
U.S. Department of Health and Human Services (HHS)
