A training course on using artificial intelligence (AI) tools to de-jargonize government language, with a tutorial on turning a complex piece of government writing into simpler and easier-to-understand language for government employees and residents alike.
WIC enrollment has declined over the last decade, preventing millions of eligible low-income individuals from accessing its benefits. This report examines state WIC outreach pilots and discusses the effectiveness of text message outreach and key considerations when developing and launching targeted text outreach campaigns.
This Playbook is produced by the New Jersey State Office of Innovation’s to help government resources better connect their audiences and constituents to their programs.
Key functionalities and design elements recommended for creating effective online WIC applications, focusing on usability, accessibility, and compliance to improve participant experience and streamline agency operations.
As a part of Benefit Data Trust (BDT)’s Medicaid Churn Learning Collaborative, BDT has created a memo describing strategies for states to collect current mailing addresses of Medicaid beneficiaries in advance of the Medicaid continuous coverage requirement — in effect under the federal public health emergency — unwinding.
The U.S. Digital Response collaborated with a state workforce agency to develop a multilingual, user-friendly system for retroactive Pandemic Unemployment Assistance (PUA) applications, enhancing claimant comprehension and reducing administrative strain.
The study investigates how state agencies administering SNAP comply with Title VI of the Civil Rights Act by providing language access for individuals with limited English proficiency (LEP).