Government leaders discuss how to ensure seamless access to public benefits through breaking down silos, user-friendly digital identities, and privacy-focused security measures.
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).
This executive order establishes a statewide effort to enhance accessibility by requiring all state agencies to use clear, concise, and easily understandable language in written communications.
This report documents four experiments exploring if AI can be used to expedite the translation of SNAP and Medicaid policies into software code for implementation in public benefits eligibility and enrollment systems under a Rules as Code approach.
A research brief explaining how work requirements in programs like Medicaid and SNAP reduce coverage, increase administrative costs, and push eligible people deeper into poverty without improving employment outcomes.
This annual report highlights the department’s progress in expanding broadband access, enhancing cybersecurity, modernizing IT services, and promoting digital equity across the state.
North Carolina Department of Information Technology (NCDIT)
This annual report details Massachusetts' strategic advancements in digital transformation, cybersecurity, and data services, emphasizing modernization efforts and enhanced constituent engagement.
The Commonwealth of Massachusetts Executive Office of Technology Services and Security (EOTSS)
This executive order establishes governance, values, and oversight structures for the ethical and responsible use of generative AI technologies within the Commonwealth of Pennsylvania.
This report outlines strategies states can adopt to improve access to SNAP, Medicaid, and WIC programs by leveraging policy options, data coordination, and streamlined service delivery.
This study explores the causal impacts of income on a rich array of employment outcomes, leveraging an experiment in which 1,000 low-income individuals were randomized into receiving $1,000 per month unconditionally for three years, with a control group of 2,000 participants receiving $50/month.
