Through the Coordinating SNAP & Nutrition Supports program, Mecklenburg County, NC leveraged a Food Security Navigator model and data analysis to increase access to nutrition supports. This report documents best practices and lessons learned from their project.
American Public Human Services Association (APHSA)
Oklahoma Human Services (OKDHS) modernized their service delivery by reducing their real estate footprint, designing trauma-informed and user-friendly spaces, and expanding an embedded worker program to improve accessibility and client experience. Through their "Service First" strategy, OKDHS aims to create more equitable and compassionate interactions, reaching vulnerable populations while addressing high occupancy costs.
In this webinar, a panel of experts discuss what states can do right now to improve EBT security, how to use data to analyze theft patterns, and how EBT payment technology needs to evolve to ensure efficiency, security, and dignity for beneficiaries.
The examples in this guide describe how peer-to-peer training and updated interview scripts can help connect residents to the benefits they are eligible for.
County workers typically spend most of their time trying to get income information right during eligibility interviews. This article provides several recommendations for asking about income, accounting for cognitive biases, under-reporting, and complexities in reporting income.
Innovators inside and outside of government are working to improve access to the social safety net using data, technology, and design. This report highlights innovations carried out by The Rockefeller Foundation’s Data and Technology grantees from 2018 to 2021, including extraordinary efforts to meet the challenges of the pandemic. Those grantees are: Benefits Data Trust, Code for America, Georgetown University’s Beeck Center for Social Impact and Innovation, U.S. Digital Response, and the Digital Innovation and Governance Initiative at New America. In 2020, these projects secured more than $200 million in benefits for close to 100,000 people across at least 36 states, and helped millions more through policy change, training, and guidance.
This study evaluates the use of RPA technology by three states to automate SNAP administration, focusing on repetitive tasks previously performed manually.
In this webinar, the Center on Budget and Policy Priorities and the Digital Benefits Network explored key terms related to digital identity, and provided ecosystem-level context on how authentication and identity proofing may show up in the online benefits experience and impact clients.
Eligible people struggle to maintain their case status for critical safety net services, often due to administrative hurdles and poor communication. Code for America piloted text message reminders to support Louisianans, which helped clients avoid costly churn. Text messages are an underrated, efficient solution for human service agencies to meet client expectations and improve case outcomes.
This framework outlines USDA’s principles and approach to support States, localities, Tribes, and territories in responsibly using AI in the implementation and administration of USDA’s nutrition benefits and services. This framework is in response to Section 7.2(b)(ii) of Executive Order 14110 on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence.
Well-designed, user-focused tools that allow for simple application are key to ensuring that families most in need receive the Child Tax Credit. Reaching these households will require a robust effort from the IRS to create user-friendly tools in partnership with organizations with a direct connection to eligible recipients.
