This study examines how individuals assess administrative burdens and how these views change over time within the context of the Special Supplemental Nutrition Assistance Program for Women, Infants, and Children (WIC).
This report celebrates 50 years of improving maternal and child health in the U.S. through WIC and offers advancements, challenges, and solutions for the future.
MITRE developed the Comprehensive Careers and Supports for Households (CCASH™) tool to help individuals understand and manage federal benefits and employment services, transitioning from a consumer-focused tool to a policy analytics system. By integrating data from sources like the U.S. Census and the Policy Rules Database, MITRE created a model that allows users to analyze and compare benefits eligibility across states, supporting evidence-based policymaking.
This guide highlights best practices in benefits access, showcasing how Michigan, New York City, and San José improve accessibility through plain language, multilingual translation, resident co-creation, and technology tools.
Code for America explores the systems at play and the individuals experience of participants in WIC. By investigating overall quantitative trends in coverage, redemption, and retention rates, they use the data as a guide to build out a qualitative research plan that explains why such trends are occurring.
This case study describes Nava's with the state of Montana’s Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) agency to build an eligibility screener tool.
This report explores how public benefit systems can better support young adults by addressing the barriers they face in accessing and maintaining vital services like SNAP, Medicaid, and WIC.
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.
This product validation summary deck explores federal opportunities to automate cross-program enrollment proofs and reduce manual verification burdens.
