This example examines Miami-Dade County's initiative to streamline digital applications for LIHEAP, aiming to improve accessibility and efficiency for residents seeking energy assistance.
This report explores policy options Utah and other states can adopt to mitigate benefit cliffs, which occur when small income increases lead to sudden loss of public assistance.
This study found that using state-specific names for Medicaid programs increased confusion and reduced both positive and negative opinions about the program.
Errors in administrative processes are costly and burdensome for clients but are understudied. Using U.S. Unemployment Insurance data, this study finds that while automation improves accuracy in simpler programs, it can increase errors in more complex ones.
This article explores how legal documents can be treated like software programs, using methods like software testing and mutation analysis to enhance AI-driven statutory analysis, aiding legal decision-making and error detection.
This brief outlines the U.S. federal government’s framework to identify, reduce, and address administrative burdens through a series of executive orders, legislative actions, and updated policies focused on improving customer experience and increasing access to government benefits.
This report provides a comprehensive analysis of administrative burdens, offering strategies to reduce unnecessary obstacles in public service delivery, with a focus on improving access to government services for underserved and marginalized populations.
The State Chief Data Officer Tracker, created by the Beeck Center’s Digital Service Network and Data Labs teams, is a first-of-its-kind resource that tracks the evolving role of CDOs in state governments and their efforts to advance data-informed decision-making and collaboration across agencies.
The Digital Service Network (DSN) spoke with two staff members from the Digital Office—Director of Digital Strategy Amy Kirtay and Team Lead Annie Goodwin, to learn more about the Government of British Columbia's Digital Code of Practice.
