The report examines how current remote identity proofing methods can create barriers to Medicaid enrollment and suggests improvements to ensure equitable access for all applicants.
This annotated bibliography compiles key resources on data linkage and integration for research and statistical purposes, focusing on best practices, governance, and technical considerations.
A brief report on our quantitative research about messages that increase people's take-up of government benefits by making them feel like those benefits belong to them.
This brief estimates of benefits, costs, interactions with other means tested programs, and impact on poverty for the paid family and medical leave program.
This explores how tax credit systems can be redesigned to better meet the needs of families, especially those facing systemic barriers to filing and receiving benefits.
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.
Artificial intelligence promises exciting new opportunities for the government to make policy, deliver services and engage with residents. But government procurement practices need to adapt if we are to ensure that rapidly-evolving AI tools meet intended purposes, avoid bias, and minimize risks to people, organizations, and communities. This report lays out five distinct challenges related to procuring AI in government.
This report presents evidence on the use of algorithmic accountability policies in different contexts from the perspective of those implementing these tools, and explores the limits of legal and policy mechanisms in ensuring safe and accountable algorithmic systems.
This guide discusses general characteristics shared by organizations that have successfully created accessible content, and includes case studies that showcase characteristics of successful accessible content teams.
Remote identify proofing is the process federal agencies and other entities use to verify that the individuals who apply online for benefits and services are who they claim to be. If the applicant responds correctly to personal questions, their identity is considered to be verified. However, data stolen in recent breaches could be used fraudulently to respond to knowledge-based verification questions. Alternative methods are available that provide stronger security, but these methods may have limitations in cost, convenience, technological maturity, and they may not be viable for all segments of the public.
Through the Coordinating SNAP & Nutrition Supports program, Mecklenburg County, NC leveraged a Food Security Navigator model and data analysis to increase access to nutrition supports. This report documents best practices and lessons learned from their project.
American Public Human Services Association (APHSA)
