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2024 Edition: Account Creation and Identity Proofing in Online Supplemental Nutrition Assistance Program (SNAP) Applications
This page includes data and observations about account creation and identity proofing steps specifically for online applications that include SNAP.
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Report: Modernizing Access to the Safety Net
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.
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Text to Connect: Strategy + Content for Using Text Message Outreach to Reduce SNAP Churn
Focused on strategy and content, this guide offers recommendations and best practices for crafting messages, engaging clients, and obtaining consent.
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Supplemental Nutrition Assistance Program: Requirement for Interstate Data Matching To Prevent Duplicate Issuances
This interim final rule requires SNAP State agencies to provide information to the NAC regarding individuals receiving SNAP benefits in their states in order to ensure they are not already receiving benefits in another state.
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Hawai’i Thriving Children Strong Families Project Glossary
his document defines key terms, acronyms, and data elements used in Hawaii's SNAP and WIC data integration project to support cross-program collaboration and data standardization.
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Applicant Experience Journey Map
Applicants to federal aid programs face numerous barriers in accessing benefits they are eligible for. The Centers for Medicaid and Medicare conducted an extensive qualitative user research study to better understand applicant experience in enrolling in public assistance programs. Based on the results, the study emphasizes the need for simplified, streamlined and less burdensome application processes.
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Michigan’s Coordinating SNAP & Nutrition Supports Impact Report
The Michigan Department of Health and Human Services, together with the Food Bank Council of Michigan and the Michigan Department of Education developed a comprehensive Food Insecurity Map and a closed-loop referral system for nutrition and economic supports.
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Listening to SNAP Participants to Improve Access to the Expanded Child Tax Credit
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.
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Best Practices for SNAP Telephonic Signatures
Telephonic signatures simplify SNAP applications and recertifications, reducing administrative burdens and improving access.
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Human-Centered, Machine-Assisted: Ethically Deploying AI to Improve the Client Experience
In this interview, Code for America staff members share how client success, data science, and qualitative research teams work together to consider the responsible deployment of artificial intelligence (AI) in responding to clients who seek assistance with three products.
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Text to Connect: Using Text Message Outreach to Reduce SNAP Churn (Full Guide)
This guidebook aims to equip state and local agencies with the practical insights they need to develop a text messaging outreach program for SNAP recertification.
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States Can Use Text Messaging to Communicate Effectively With Medicaid and SNAP Enrollees
The article discusses how state agencies can effectively use text messaging to communicate with Medicaid and SNAP enrollees, especially following a 2021 FCC ruling that permits automated texts for informational purposes.