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.
The New Jersey Department of Human Services and New Jersey Department of Health collaborated in their Coordinating SNAP & Nutrition Supports project to enhance the enrollment and coordination of SNAP and WIC programs.
American Public Human Services Association (APHSA)
The Increasing Stimulus Payment Take-up in California report by the California Policy Lab examines barriers to accessing federal stimulus payments and provides strategies to increase take-up among eligible Californians, particularly low-income and non-filers.
With the extension and expansion of P-EBT during COVID and the Food and Nutrition Service releasing new guidance, states have an opportunity to effectively deliver essential resources to children and families. Code for America built this toolkit of resources to share recommendations and promising practices around the implementation of P-EBT and to support state agencies and partners tasked with the development of P-EBT programs.
This toolkit provides guidance for state and local WIC agencies on implementing digital tools to enhance participant engagement and streamline program operations.
This article discusses Code for America’s research into the user experience of applying or Medicaid, SNAP, TANF, WIC, and LIHEAP in the United States. They found that user experience applying for benefits programs varies greatly by (and often within) each state.
Article announcing five new projects by the Office of Management and Budget that will improve experiences the public has with the government during significant movements in their lives. These “life experience” projects are at the center of a new model for how the Federal Government should better design and deliver benefits, services, and programs to the American people during the moments in their lives that matter most.
This report from the Joint Financial Management Improvement Program outlines efforts to use identity verification to reduce improper payments in government programs, while mitigating bias and disparate impacts.
The Joint Financial Management Improvement Program (JFMIP)
Executed on September 24, 2024, a memorandum for the heads of executive departments and agencies on advancing the responsible acquisition of artificial intelligence in government.
This report offers a detailed assessment of how AI and emerging technologies could impact the Social Security Administration’s disability benefits determinations, recommending guardrails and principles to protect applicant rights, mitigate bias, and promote fairness.
This toolkit outlines actionable changes for government practitioners looking to improve the accuracy and accessibility of the questions on their forms that collect information about a user’s gender.
