This GitHub repository includes resources that users of the UI wage data toolkit may find helpful. It covers a variety of topics, including equity, data security, programming, and data QC tips. It also serves as a place for our team to continue to post information that the TANF Data Collaborative (TDC) pilot sites found useful during our partnerships with them.
In a time of crisis, behavioral science offers insights into how to reduce the paperwork and other administrative burdens that prevent people from taking advantage of crucial support services.
This annotated bibliography compiles key resources on data linkage and integration for research and statistical purposes, focusing on best practices, governance, and technical considerations.
This resource provides updated draft digital identity guidelines for identity proofing, authentication, and federation, aiming to improve security, privacy, usability, and equity in digital identity systems.
This guide provides practical financing strategies for governments to build, maintain, and expand integrated data systems (IDS) and evaluation capacity using federal and non-federal funding sources.
An updated guide for public sector and civic data users to embed racial equity and community voice throughout the data life cycle—from planning to dissemination.
This strategy document establishes a governance framework and roadmap to ensure responsible, trustworthy, and effective AI use across Canadian federal institutions.
This report catalogs the policy choices, demonstration projects, and waivers each state uses to administer SNAP, highlighting how states adapt federal rules to local needs.
This FormFest profile highlights Riverside County’s pilot of AI-powered interviews that streamline benefit applications, reducing bureaucratic burden on families in crisis while freeing caseworkers to focus on human connection.
This budget request details ADES's FY2027 funding priorities—including developmental disability services, child care, IT modernization, and compliance with H.R. 1—and outlines projected fiscal impacts, caseload growth, and programmatic needs across the state
