Learn how to use generative AI to quickly create unemployment insurance translations that are accurate, easy to understand, and tailored to your state.
Using low-code/no-code tools successfully requires knowing how to pick the right tool and knowing the kind of challenges that merit calling in a technical team for consultation and advice.
Blog post authored by U.S. Digital Response discussing best practices for creating inclusive, accessible, and affirming government services for LGBTQ+ populations gleaned from their recent work in the City of Boston.
This post explores the lessons learned and opportunities for improvement from USDR's research on families' experiences as they navigate the child care journey.
Understanding the strengths and weaknesses of the available low-code/no-code tools will help you pick the right tool for the job and balance their sometimes significant weaknesses with their tremendously valuable strengths.
Based on user interviews with families across the United States who navigated the Medicaid renewal process, this report offers insights and recommendations for improving the experience of renewing Medicaid and other benefits.
The vast fraud committed through the use of stolen and synthetic identities in UI programs has spotlighted the need for updated identity fraud detection mechanisms. As states are implementing new technologies and systems, they need to consider the ways in which they are impacting racial inequities in UI benefits.
This presentation was recorded at the Texting and Notification Working Group meeting coordinated in part by the Aspen Institute Financial Security Program on February 28, 2024.
This is a working list of plain language Spanish translations and recommended usage for common unemployment insurance terms. All content contained in this glossary has been tested and validated for readability and comprehension with Spanish speakers who have limited English proficiency.
