This study explores the causal impacts of income on a rich array of employment outcomes, leveraging an experiment in which 1,000 low-income individuals were randomized into receiving $1,000 per month unconditionally for three years, with a control group of 2,000 participants receiving $50/month.
AI resources for public professionals on responsible AI use, including a course showcasing real-world applications of generative AI in public sector organizations.
A comprehensive human services policy that strengthens due process, transparency, and administrative fairness across housing assistance, CalWORKs, and CalFresh programs while funding system changes to reduce payment errors and administrative burden.
A comprehensive guide that provides role definitions, hiring guidance, interview materials, and evaluation rubrics for building effective UX design and research teams.
This document is a template for creating a community-based organization (CBO)-facing flyer that explains HR1 work requirements changes and how CBOs can help spread the work and screen SNAP participants and applicants.
American Public Human Services Association (APHSA)
This publication explains current state integrated eligibility and enrollment (IEE) system implementation processes, approaches, and opportunities for future processes and technologies. It is a resource for state officials, advocates, funders, and tech partners working to implement these systems.
This codebase is a web-based accessibility training project designed to support engineering-focused learning and practice around accessible development.
This brief provides a framework for states to align and coordinate work requirement implementation across SNAP and Medicaid following the passage of H.R. 1.
This technical guide provides a framework for state agencies to minimize procedural terminations and health coverage losses resulting from new Medicaid work reporting requirements.
This workshop summary synthesizes key takeaways from a convening of nearly 40 research and data analytics staff from 15 states focused on SNAP Quality Control (QC) data modeling.
This report evaluates the effectiveness and implementation of a generative AI-powered assistive chatbot designed to help caseworkers navigate complex public benefit programs like Medicaid and SNAP.
