In a time of crisis, behavioral science offers insights into how to reduce the paperwork and other administrative burdens that prevent people from taking advantage of crucial support services.
The team developed an application to simplify Medicaid and CHIP applications through LLM APIs while addressing limitations such as hallucinations and outdated information by implementing a selective input process for clean and current data.
This assessment aims to help states gain a comprehensive understanding of their successes and shortcomings in their data strategies and enhance their strategic and tactical plans.
A report from the State of California presenting an initial analysis of where generative AI (GenAI) may improve access of essential goods and services.
This dashboard highlights key performance indicators for UI systems nationwide, including how they perform during the current economic crisis, the impact of the CARES Act benefits expiring, the timeline for which benefits are delivered, demographics of benefits recipients, and total benefits payments.
This publication shares ten ways states can improve start-to-finish customer experience for unemployment insurance claimants. These approaches can increase overall equitable access and system integrity for UI administration.
This report highlights California's strides in modernizing state government through data-driven innovation, human-centered design, and strategic initiatives aimed at enhancing public services and equity.​
As a part of Benefit Data Trust (BDT)’s Medicaid Churn Learning Collaborative, BDT has created a memo describing policy options and state examples for Medicaid administrators to reduce churn for non-MAGI Medicaid enrollees when the federal public health emergency ends.
Hear perspectives on topics including centering beneficiaries and workers in new ways, digital service delivery, digital identity, and automation.This video was recorded at the Digital Benefits Conference (BenCon) on June 14, 2023.
