Library
Discover the latest innovations, learn about promising practices, and find out what’s coming next with best-in-class resources from trusted sources.
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Digitizing Policy + Rules as Code Applying Rules as Code to the Social Safety Net
This short report outlines the promise and potential of digitizing benefits eligibility policy.
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Communications Text to Connect: Planning a Text Message Program to Reduce SNAP Churn
This guide is the first part of a series designed to help SNAP administrators implement a text messaging program to reduce SNAP churn. This guide outlines how to scope and plan a text messaging program.
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Communications Best Practices for Accessible Content
Drawing on the Beeck Center’s research on government, nonprofit, academic, and private sector organizations that are working to improve access to safety net benefits, this report highlights best practices for creating accessible benefits content.
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Communications Text to Connect: Data Collection Considerations for Using Text Message Outreach to Reduce SNAP Churn
This guide is the fifth part of a series designed to help SNAP administrators implement a text messaging program to reduce SNAP churn. This guide is intended to help data engineers and analysts build the data pipeline and manage, analyze, and synthesize data needed for a text messaging program.
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Human-Centered Design Starting Small with Human-Centered Redesign: Approachable Ideas for State and Local Public Benefits Agencies to Improve Applications, Renewals, and Correspondence
This guide highlights approachable ideas for state and local public benefits agencies to improve applications, renewals, and correspondence. As outlined in this resource, even small improvements can be transformative for residents and caseworkers alike.
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Designing for Multilingual Translation
Complex benefits information creates unnecessary barriers for residents and navigators who must understand what’s relevant to them so they can receive benefits. For non-native English speakers, these barriers are exacerbated. This resource guide outlines approaches for translating content to improve equitable access to benefits.
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Communications Text to Connect: Strategy + Content for Using Text Message Outreach to Reduce SNAP Churn
This guide is the fourth in a series designed to help SNAP administrators implement a text messaging program 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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Human-Centered Design Going Big with Human-Centered Redesign
Redesigning benefits applications, renewals, and correspondence using human-centered design is one of the most impactful things state and local government agencies can do to ensure that all eligible residents can access social safety net resources. This guide includes practical insights for benefits administrators considering a comprehensive redesign of benefits delivery processes.
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Data Conducting Outreach for Benefits Cross Enrollment
This resource outlines strategies for cross-enrollment outreach, which can break down silos between programs and reach applicants who may be eligible for under-enrolled benefits programs.
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Advancing Economic Mobility For Low-Income Families: Policy Options For Governors
As we look to post-pandemic recovery, it will be critical to ensure that individuals have access to resources and supports that not only help them meet basic needs but also provide them with tools to increase their economic security and resilience and build assets that can be passed on to future generations, setting them up for future success.
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Human-Centered Design Leveraging Technology For Human-Centered One-Stop Workforce Service Delivery
A case study of the Hawai‘i Career Acceleration Navigator — an accessible, data-driven and full-service government platform for unemployed people and other jobseekers to search for jobs and access supportive service benefits.
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Digital Identity Facial Recognition Technologies: A Primer
This primer is written for a non-technical audience to increase understanding of the terminology, applications, and difficulties of evaluating facial recognition technologies.