This U.S. Department of Labor (DOL) strategy outlines a roadmap for modernizing the Unemployment Insurance (UI) system to enhance efficiency, equity, and access for workers.
This foundational article develops the concept of administrative burden, defining it as the learning, psychological, and compliance costs individuals face when interacting with government, and argues that these burdens are often shaped by political choices.
Journal of Public Administration Research and Theory
The guidelines for bias-free language contain both general guidelines for writing about people without bias across a range of topics and specific guidelines that address the individual characteristics of age, disability, gender, participation in research, racial and ethnic identity, sexual orientation, socioeconomic status, and intersectionality.
This article discusses how Code for America enhanced the CalFresh application process to better assist self-employed individuals in accessing their full benefits by clarifying self-employment definitions and simplifying income verification.
Benefits Data Trust (BDT), in collaboration with the Center for Health Care Strategies (CHCS), conducted a nationwide analysis of how states coordinate across Medicaid and SNAP programs to streamline access to benefits.
This Urban Institute article argues that poverty is driven by structural barriers rather than individual choices and advocates for safety net programs that address systemic inequities.
WIC enrollment has declined over the last decade, preventing millions of eligible low-income individuals from accessing its benefits. This report examines state WIC outreach pilots and discusses the effectiveness of text message outreach and key considerations when developing and launching targeted text outreach campaigns.
This data playbook created by the California Health and Human services agencies discusses five plays designed to help Departments utilize data to inform program and policy development.
California Health and Human Services Agency (Cal HHS)
This course from the European Commission aims to provide participants with a comprehensive understanding of Law as Code and its relationship to digital-ready policymaking.
This report offers a critical framework for designing algorithmic impact assessments (AIAs) by drawing lessons from existing impact assessments in areas like environment, privacy, and human rights to ensure accountability and reduce algorithmic harms.
