For the Digital Service Network’s (DSN) final installment of its summer event series, Let’s Get Digital, we heard about New York State’s (NYS) human-centered design (HCD) journey and how relationships between leadership and digital service teams have been pivotal in advancing user-centric service delivery.
In this article, the authors examine the impact of the 2021 temporary expansion to the Child Tax Credit (CTC) on housing affordability and the living arrangements of families with low incomes.
DSN Spotlights are short-form project profiles that feature exciting work happening across our network of digital government practitioners. Spotlights celebrate our members’ stories, lift up actionable takeaways for other practitioners, and put the examples we host in the Digital Government Hub in context.
The New York State WIC program website provides access to nutritious foods, nutrition education, breastfeeding/chestfeeding support, and referrals to eligible pregnant, breastfeeding, and postpartum individuals, infants, and children up to age five.
Governor Kathy Hochul announced a new client feedback initiative in partnership with Code for America to improve New York's WIC program by implementing live online chat to gather input from participants, streamline enrollment, and increase access to healthy food for eligible families.
A recap of the two-day conference focused on charting the course to excellence in digital benefits delivery hosted at Georgetown University and online.
The Policy2Code Prototyping Challenge explored utilizing generative AI technology to translate U.S. government policies for public benefits into plain language and code, culminating in a Demo Day where twelve teams showcased their projects for feedback and evaluation.
The team introduced an AI assistant for benefits navigators to streamline the process and improve outcomes by quickly assessing client eligibility for benefits programs.
The team aimed to automate applying rules efficiently by creating computable policies, recognizing the need for AI tools to convert legacy policy content into automated business rules using Decision Model Notation (DMN) for effective processing and monitoring.
