A statewide framework to improve data literacy among Oregon public sector employees by identifying core competencies, learning goals, and implementation strategies across various roles and skill levels.
This report provides an early 2025 snapshot of state Medicaid and CHIP policies as they return to normal operations post‑pandemic, focusing on eligibility, enrollment, and renewal processes.
Federal guidelines for digital identity services, outlining technical and procedural requirements for identity proofing, authentication, and federation.
National Institute of Standards and Technology (NIST)
An analysis showing that a proposed plan to shift some cost of SNAP benefits to states could push nearly 900,000 additional people into poverty during a recession.
Created for use in the Digital Doorways research project, this design stimuli shows the steps of submitting an application, sharing personal information, and verifying identity for New York's integrated online application that includes SNAP and Medicaid.
The Maryland Information Technology Master Plan 2025 lays out the state’s strategy to modernize IT, expand digital services, and strengthen infrastructure to better serve residents and government agencies.
This exploratory brief outlines the City of Boston’s phased plan to build a digital system for scheduling, managing, and reporting mattress and bulky item recycling pickups.
This report provides supplemental estimates on how Public Law 119-21—tied to H.R. 1—will affect SNAP participation, benefits, and state administrative costs over 2025–2034.
This slide deck describes the main mechanisms in a dynamic analysis of H.R. 1, explains the changes to SNAP, and explains the macroeconomic effects and budgetary feedback of those changes.
This report outlines best practices for developing transparent, accessible, and standardized public sector AI use case inventories across federal, state, and local governments
A customizable policy template that establishes governance, roles, principles, and risk-management processes for the responsible use of artificial intelligence within a government agency.
