A policy guidance document outlining practical steps states can take to reduce harm to immigrant communities following major Medicaid eligibility restrictions enacted under federal budget reconciliation legislation.
A case study explaining how a predictive, data-driven machine-learning model was developed to detect unauthorized cash benefit withdrawals more quickly and accurately in California.
Louisiana issued an RFI to identify solutions that can provide a technology platform for determining eligibility and managing cases across multiple human services programs.
This resource provides state agencies and their implementation partners with context on how and why to conduct a Digital Identity Risk Management (DIRM) process, as well as a new spreadsheet-based tool to guide agency teams through the process.
A set of contract-ready principles and requirements that define how vendors must deliver user-centered, accessible, and data-informed digital services.
A case study documenting the creation, pilot, impact, and eventual sunset of a government text-messaging service used to improve how agencies communicate with the public.
Practitioner Picks is a quarterly series designed to add fresh resources to the Digital Government Hub’s library, helping people improve government digital service delivery. Each issue spotlights resources chosen by practitioners in a specific service delivery area along with their insights on why these picks are valuable additions to the Hub.
An internal overview presentation showcasing Austin Transportation and Public Works’ Data & Technology Services team, its structure, values, and approach to delivering modern digital government services.
This report analyzes the critical role of SNAP’s "broad-based categorical eligibility" (BBCE) policy and the widespread consequences of its potential elimination by the Trump Administration.
