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.
This blog post details the development of a human-centered screening tool designed to help SNAP clients identify and report exemptions from work requirements.
This article provides an overview of the Medicaid Payment Error Rate Measurement (PERM) program and examines how the 2025 budget reconciliation law introduces new federal funding reductions for states that exceed specific eligibility error thresholds.
This technical guide provides a framework for state agencies to minimize procedural terminations and health coverage losses resulting from new Medicaid work reporting requirements.
A technical guide that outlines policy and system design strategies states can use to reduce procedural terminations when implementing Medicaid work reporting requirements.
How can governments use artificial intelligence (AI) to advance digital accessibility? During this roundtable, Andrew Merluzzi, AI Innovation + Incubation Fellow at the Beeck Center for Social Impact + Innovation, shared some applications of AI in digital accessibility. Attendees discussed which applications are most promising, which seem too difficult or risky, and how their agencies could start experimenting with AI.
Usability testing offers the opportunity to observe and learn from real users, enabling governments to iterate design to meet user needs. In this session Rua Williams, Assistant Professor in the School of Applied and Creative Computing from Purdue University, shared more about their research and practical steps government practitioners can take to conduct more inclusive and ethical usability testing. Attendees discussed partnering with disabled users in ways that are respectful, effective, and sustainable.
The first panel at the Beeck Center’s Accessibility Jam event was captured in a graphic recording to enable more people to access the information from the event.
This publication offers a starting point into the current research and practice landscape on data interoperability for public benefits administration. It identifies key takeaways for those looking to advance such efforts in their jurisdiction. In particular, it pinpoints what the research reveals about key challenges benefits agencies face, as well as recommendations for addressing those challenges and examples of states and localities that have done so.
This paper evaluates the technical vendor landscape as states prepare to implement Medicaid work requirements mandated by the H.R. 1 reconciliation law.
