This presentation focuses on data-driven and analytic strategies for identifying and verifying medical frailty exemptions within Medicaid work requirements.
This toolkit provides guidance to protect participant confidentiality in human services research and evaluation, including legal frameworks, risk assessment strategies, and best practices.
U.S. Department of Health and Human Services (HHS)
The team developed an AI solution to assist benefit navigators with in-the-moment program information, finding that while LLMs are useful for summarizing and interpreting text, they are not ideal for implementing strict formulas like benefit calculations, but can accelerate the eligibility process by leveraging their strengths in general tasks.
Propel describes how its mobile app outreach campaign helped millions of Medicaid enrollees navigate renewal during the post-pandemic “unwinding” by driving action through notifications, messaging, and in-app tools.
This 2015 project presentation outlines the vision, research, and product requirements for DAHLIA, San Francisco’s online platform to centralize and simplify affordable housing searches and applications.
San Francisco Mayor's Office of Housing and Community Development
This video shows you how to get started with using Generative AI tools, including Bard, Bing, and ChatGPT, in your work as public sector professionals.
This article explores ongoing efforts to modernize state unemployment insurance (UI) systems, addressing long-standing inefficiencies and challenges exposed by the COVID-19 pandemic.
This case study describes Nava's work with the state of Montana’s Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) agency to build an API prototype, which is part of Nava's larger work inform a national API standard.
This case study describes Nava's with the state of Montana’s Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) agency to build an eligibility screener tool.
The Policy Rules Database (PRD), developed by the Federal Reserve Bank of Atlanta and the National Center for Children in Poverty, consolidates complex rules for major U.S. federal and state benefit programs and tax policies into a standardized, easy-to-use format. This database allows researchers to model public assistance impacts, simulate policy changes, and analyze benefits cliffs across various household scenarios using common rules and language across different programming platforms.
