In this video, Susan S. Gibson, chair of the Pandemic Response Accountability Committee's (PRAC) Identity Fraud and Redress Working Group, speaks with Jeremy Grant of the Better Identity Coalition, about the challenges of identity fraud for benefits program during the COVID-19 pandemic.
Recent studies demonstrate that machine learning algorithms can discriminate based on classes like race and gender. This academic study presents an approach to evaluate bias present in automated facial analysis algorithms and datasets.
During the COVID-19 pandemic, states utilized temporary Supplemental Nutrition Assistance Program (SNAP) flexibilities to provide emergency benefits and maintain support for households with children missing school meals.
Eligible people struggle to maintain their case status for critical safety net services, often due to administrative hurdles and poor communication. Code for America piloted text message reminders to support Louisianans, which helped clients avoid costly churn. Text messages are an underrated, efficient solution for human service agencies to meet client expectations and improve case outcomes.
The Decide Methods help you derive insights from the information gathered during the Discovery phase. You’ll validate initial assumptions, develop a deeper understanding of workflows and processes, and develop design hypotheses.
Government solicitations to procure custom software are often long, complicated, and take months. By using 18F’s agile contract format, agencies can hire an agile software contractor with a quickly-written dozen-page solicitation, allowing for immense savings in time and money.
This article explores innovative strategies to improve access to public benefits by reducing administrative barriers and leveraging technology for a more user-friendly experience.
The toolkit provides strategies for state and local WIC agencies to enhance enrollment by utilizing data from Medicaid and SNAP for cross-program data matching and targeted outreach.
This reporting explores how algorithms used to screen prospective tenants, including those waiting for public housing, can block renters from housing based on faulty information.
The 2021 President’s Management Agenda identified federal customer experience as a priority area for improvement. GAO was asked to review OMB and selected federal agencies’ efforts to improve federal customer experience.
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.
