This article reviews two examples of how Nava has used open-source technologies to bring human-centered testing practices to government services software.
Californians who receive food assistance come from all backgrounds, but many share a similar story: they were barely getting by financially when they were tipped into crisis by an unexpected expense or loss of income. This site shares their stories.
The Community-Driven Policies and Practices project engaged people experiencing poverty in power-building sessions to develop advocacy plans for economic justice. This report offers recommendations for nonprofits to engage people with lived experience of poverty in advocacy.
An interview with Wendy De La Rosa, assistant professor at the Wharton School at the University of Pennsylvania. De La Rosa discusses how the concept of “psychological ownership” can encourage people to take up benefits they are eligible for.
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.
Nava built flexible and reusable software and design components to make it easier for Vermonters to access their benefits. These components support Vermont’s long-term vision of integrating eligibility and enrollment processes for all of the state’s healthcare and financial benefit programs.
Important considerations for understanding user needs to inform responsive design in rapidly changing contexts are discussed, including how context, threat perception, decision-making, and crisis affects disaster management and UX research.
This webinar provides insight on behavioral science concepts and how states can put such ideas into practice to tailor engagement, messaging, and independence planning, as well as promote participation in SNAP E&T programs.
U.S. Digital Response partnered with the Department of Labor to design a human-centered, low-code solution for efficient retroactive unemployment benefit determination.
