This section of the Building Resilience plan outlines comprehensive strategies to help states prevent, detect, and recover unemployment insurance (UI) fraud while protecting legitimate claimants.
This webinar session discusses the importance of using CX metrics to guide agency-level decisions and how to gather, analyze, and apply customer feedback to optimize products and services.
The Center on Budget and Policy Priorities (CBPP) report highlights the disproportionate hardships faced by Black and Latina mothers during the COVID-19 pandemic, exacerbated by systemic inequities.
This article explores ongoing efforts to modernize state unemployment insurance (UI) systems, addressing long-standing inefficiencies and challenges exposed by the COVID-19 pandemic.
This landscape analysis examines data, design, technology, and innovation-enabled approaches that make it easier for eligible people to enroll in, and receive, federally-funded social safety net benefits, with a focus on the earliest adaptations during the COVID-19 pandemic.
This article highlights how state unemployment insurance (UI) agencies are leveraging data to modernize systems and enhance access for unemployed workers.
This resource is a research paper examining the role of the public safety net in insuring job losers against income loss, analyzing which government programs provide financial support and how benefits vary based on pre-job loss income levels.
A webinar presenting fresh data on how young adults aged 22 are faring in terms of poverty, employment, education, living arrangements, and access to public benefits.
This report outlines the U.S. Department of Labor’s comprehensive action plan to strengthen the unemployment insurance (UI) system by addressing chronic underfunding and proposing legislative reforms to support long-term modernization and resilience.
Nava partnered with California's Employment Development Department (EDD) to rapidly develop two cloud-based digital services, enhancing unemployment benefit access during the COVID-19 pandemic.