This blog explores the rise of person-centered insights in policymaking, featuring an overview of its benefits and expert interviews highlighting its crucial role in effectively delivering public benefits and human services.
This case study documents how Civilla partnered with the Michigan Department of Health and Human Services (MDHHS) to redesign and modernize online enrollment for the state’s largest benefit programs.
Best practices for procuring and developing accessible tools that utilize artificial intelligence (AI) and how to ensure that they are in compliance with the Web Content Accessibility Guidelines (WCAG) 2.1 Level A and Level AA.
The Commonwealth of Massachusetts Executive Office of Technology Services and Security (EOTSS)
When COVID-19 hit, the State of New Jersey recognized the need to both receive data on the spread of the disease from the public and provide information to them on how to mitigate it.
This blog summarizes an event exploring how the City of Boston and Washington State are designing and implementing Single Sign-On (SSO) systems to simplify access to government services.
This study describes the potential of human-centered design principles to identify burdens, reducing the effects of what we label as administrative checkpoints.
This news release highlights Pennsylvania’s first-in-the-nation Generative AI pilot under Governor Shapiro, showcasing its positive impact on state employees and commitment to responsible, ethical AI use.
This blog explains how the Rural Health Transformation Program—established under H.R. 1—will channel $50 billion over five years to states to support rural health care, and outlines how states can apply, qualify, and deploy funds strategically.
Association of State and Territorial Health Offices (ASTHO)
This summary outlines statewide progress in improving digital services, reducing administrative burdens, and elevating customer satisfaction through human-centered and data-informed government design.
The article examines the effects of Arkansas’s Medicaid work requirements, finding substantial coverage losses and no significant increase in employment, compounded by widespread confusion among beneficiaries about the policy.
