A strategy outlining a new, outcome-driven, slice-based approach to modernizing Medicaid Enterprise Systems, prioritizing experimentation, measurable outcomes, and cultural transformation over traditional large-scale system replacements.
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.
A practical toolkit that helps human services agencies coordinate programs and benefits to better support whole families through aligned policies, processes, and service delivery.
This research explores how software engineers are able to work with generative machine learning models. The results explore the benefits of generative code models and the challenges software engineers face when working with their outputs. The authors also argue for the need for intelligent user interfaces that help software engineers effectively work with generative code models.
Chapin Hall collaborated with national policy experts, practitioners, and young adults with lived experience of homelessness to create a policy toolkit where tax, public benefits, and educational aid implications for young people participating in Direct Cash Transfer (DCT) programs are laid out in one place.
This article describes how Code for America conducted qualitative research within its GetCalFresh application by asking families to tell them about their familial, housing, and financial situations. From client messages, they gathered information regarding how to make changes to their product to keep their work people-centered.
Programs like Medicaid and SNAP are managed at the federal level, administered at the state level, and often executed at the local level. Because there are so many in-betweens, there is significant duplicated effort, demonstrating the need to simplify eligibility rules to facilitate easier implementation.
The IRS Direct File Pilot Program After Action Report evaluates the 2024 pilot of a free, government-run tax filing system, assessing taxpayer participation, user experience, and potential for future expansion.
Implementing flexible interview scheduling in Los Angeles County's CalFresh program significantly increased benefit approval rates and reduced processing times, particularly aiding working families, students, and individuals experiencing homelessness.
The OECD AI Principles promote use of AI that is innovative and trustworthy and that respects human rights and democratic values. The principles were adopted in 2019; this webpage provides an overview of the principles and key terms.
Organisation for Economic Co-operation and Development (OECD)
Implementing an API standard for WIC Management Information Systems (MIS) would enable seamless integration of digital tools, enhancing service delivery and accessibility for participants and staff.
