This policy brief outlines how improved data sharing between federal agencies, state and local governments, and institutions can leverage existing data from other benefits programs to streamline eligibility processes and benefits uptake for the Affordable Connectivity Program (ACP) and other programs.
Passing a major new social program like paid family and medical leave (PFML) is only the first step in creating change. To achieve real impact, PFML programs must be well implemented — and as more and more states pass PFML programs, the urgency of such good implementation has never been higher. In 2019, New America staffed a discovery sprint team to explore New Jersey’s pioneering PFML program, using a mixture of beneficiary interviews, data analysis, and business processing mapping. Based on that research, this report outlines key implementation learnings for administrators in other states, focusing on: (a) communicating about PFML, (b) outreach strategies, (c) applications and processing, and (d) IT infrastructure.
The experience of the COVID-19 pandemic and its induced recession underscored the crucial importance of unemployment insurance (UI) to workers, and to the stability of the American economy. Temporary federal expansions of unemployment systems during the pandemic showed how they can quickly be scaled to increase benefit levels and to include categories of workers who were not previously eligible, such as the self-employed, caregivers, and low-wage workers. And, states showed that separate programs can be set up to provide similar benefits to workers who are explicitly excluded from unemployment insurance—in particular immigrants who do not have a documented immigration status.
This report, jointly authored by The Century Foundation, the National Employment Law Project, and Philadelphia Legal Assistance, presents the findings of an intensive study of state efforts to modernize their unemployment insurance (UI) benefit systems. This is the first report to detail how UI modernization has altered the customer experience. It offers lessons drawn from state modernization efforts and recommends user-friendly design and implementation methods to help states succeed in future projects.
The U.S. Department of Labor is working with states, territories, and the public to develop strategies to continuously improve the nation’s unemployment insurance (UI) systems. All of the work shown on this site to date came from the Claimant Experience Pilot engagement between U.S. Department of Labor, the New Jersey Department of Labor and Workforce Development and the Arkansas Division of Workforce Services funded through ARPA.
This article reviews two examples of how Nava has used open-source technologies to bring human-centered testing practices to government services software.
This guide touches on everything from Code for America’s core research philosophy, to our approach to ethics and trauma-informed research, to specific research methods. It also includes plenty of practical tips on planning and executing research, as well as how to synthesize your findings into action.
Putting the individual at the core of service delivery is key to successful SNAP E&T programs. 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.
A growing body of evidence shows that improved care and service coordination across multiple sectors, including beyond traditional health care services, has the potential to enable the achievement of improved health and well-being outcomes for families and communities. Human service programs and providers already in place are uniquely positioned to provide essential contributions to improving overall health outcomes if they effectively coordinate with the traditional and evolving health system.
American Public Human Services Association (APHSA)
This report describes C-Stat 2.0, an updated version of the the Colorado Department of Human Services’ performance-based analysis strategy that allows them to better focus on and improve performance outcomes that enhance people’s lives.
