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Iowa Child Care Connect (C3) Demo
This video demonstrates how to use Iowa's Child Care Connect (C3), a centralized data system that integrates near-real-time child care data to support families, providers, policymakers, and economic development efforts across the state.
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Creating a Welcoming Early Childhood Program for LGBTQIA2S+ Families
This resource offers practical strategies for early childhood programs to create inclusive, affirming environments for LGBTQIA2S+ families and their children.
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Enhanced Unemployment Insurance Benefits in the United States during COVID-19: Equity and Efficiency
This paper concludes that the substantial COVID-19 unemployment insurance expansion had limited disincentive effects on job searches, particularly among lower-income individuals, despite high wage replacement rates.
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Using Data-Driven Outreach to Improve Access to Public Assistance Programs in North Carolina
This case study series highlights innovative state strategies to improve data coordination between SNAP and Medicaid agencies and increase access for eligible people.
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Hunger Doesn’t Take a Vacation: Summer Nutrition Status Report 2024
This report reveals a drop in the number of children receiving nutrition over the summer following the loss of pandemic-era waivers.
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Closing Medicaid Coverage Gap Would Help Diverse Groups and Reduce Inequities
Closing the Medicaid coverage gap could significantly reduce healthcare disparities as 65% of those affected are people of color, specifically impacting low-wage workers and caregivers who often experience economic and health vulnerabilities.
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Cash Rules Everything Around Me: A Summary of Existing Research On Guaranteed Income
A literature review summarizing existing research on guaranteed income programs.
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As Pandemic-Era Policies End, Medicaid Programs Focus on Enrollee Access and Reducing Health Disparities Amid Future Uncertainties: Results from an Annual Medicaid Budget Survey for State Fiscal Years 2024 and 2025
This report outlines state Medicaid program priorities, including expanding access to services, addressing health disparities, and implementing cost-containment measures amid post-pandemic uncertainties.
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Combatting Identify Fraud in Government Benefits Programs: Government Agencies Tackling Identity Fraud Should Look to Cybersecurity Methods, Avoid AI-Driven Approaches that Can Penalize Real Applicants
This article advises government agencies to prioritize cybersecurity methods over AI-driven approaches when combating identity fraud in benefits programs, highlighting potential risks that automated systems pose to legitimate applicants.
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AI-Powered Rules as Code: Experiments with Public Benefits Policy
This report documents four experiments exploring if AI can be used to expedite the translation of SNAP and Medicaid policies into software code for implementation in public benefits eligibility and enrollment systems under a Rules as Code approach.
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AI-Powered Rules as Code: Experiments with Public Benefits Policy: Summary + Key Takeaways
This is the summary version of a report that documents four experiments exploring if AI can be used to expedite the translation of SNAP and Medicaid policies into software code for implementation in public benefits eligibility and enrollment systems under a Rules as Code approach.
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FormFest 2024 Recap: Scaling Government Assistance
An event recap from one of FormFest 2024's breakout sessions featuring speakers from the state of Maryland's Department of Social Services and the U.S. Department of Health and Human Services (HHS).