The Better Government Lab at the McCourt School of Public Policy at Georgetown University has developed a new scale for measuring the experience of burden when accessing public benefits. They offer both a three-item scale and a single-item scale, which can be utilized for any public benefit program. The shorter scales provide a less burdensome way to measure by requiring less information from users.
As a part of Benefit Data Trust (BDT)’s Medicaid Churn Learning Collaborative, BDT has created a memo describing policy options and state examples for Medicaid administrators to reduce churn for non-MAGI Medicaid enrollees when the federal public health emergency ends.
Teams crafting policy inside and outside government can use the assessment to center their policy-making activities around those most impacted by their proposed programs and policy ideas.
This book is an in-depth exploration of federal programs and controversial legislation demonstrating that administrative burden has long existed in policy design, preventing citizens from accessing fundamental rights. Further discussion of how policymakers can minimize administrative burden to reduce inequality, boost civic engagement, and build an efficient state.
Working with TANF administrators and human services leaders across the country, the American Public Human Services Association (APHSA) embraces the call to reimagine how TANF can work in support of the families it serves and has established a set of TANF Modernization Core Principles to guide our vision for the future of TANF. Grounded in these Core Principles, APHSA’s members have laid out a legislative framework to unlock the potential of TANF. We call upon Congress to use this framework as a starting point to build common ground to achieve a TANF reauthorization that promotes a more equitable and prosperous future for all Americans.
American Public Human Services Association (APHSA)
This quarterly research update aims to highlight key learnings related to improving unemployment insurance (UI) systems in the areas of equity, timeliness, and fraud, and monitor for model UI legislation and policy related specifically to technology. Subscribe to receive future editions.
This report provides an overview of artificial intelligence (AI), key policy considerations, and federal government activities related to AI development and regulation.
Handbook by 18F designed for executives, budget specialists, legislators, and other “non-technical” decision-makers who fund or oversee state government technology projects that receive federal funding and implement the necessary technology to support federal programs. It aids in setting projects up for success by asking the right questions, identifying the right outcomes, and equally important, empowering decision-makers with a basic knowledge of the fundamental principles of modern software design.
