Hennepin County, Minnesota, implemented an online application system for child care assistance, resulting in increased applications, faster benefit distribution, and reduced administrative burdens.
The report highlights that many eligible low-income children are not receiving WIC benefits during the COVID-19 pandemic, with participation rates varying significantly by state and lagging behind programs like Medicaid and SNAP.
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.
Code for America helped expand GetCalFresh (a service that guides Californians through the SNAP application process and helps government deliver food assistance to people in need) from a small pilot into a statewide service. They also recently concluded a similar pilot in Michigan along with Civilla and the Michigan Department of Health and Human Services.
This report summarizes findings and observations on the implementation of Phase 1 of the U.S. Department of Labor’s Open UI Initiative, highlighting effective strategies, challenges, opportunities, and recommendations for supporting states’ UI modernization efforts.
The Average Food Stamp Application is 17 Pages Long article by mRelief highlights the extensive length and complexity of Supplemental Nutrition Assistance Program (SNAP) applications, which can deter eligible individuals from applying for benefits.
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.
The Benefits Enrollment Field Guide looks at the landscape of America’s safety net benefits experience in 2023 and tracks the differences from our 2019 assessment based on expanded evaluation criteria. It also highlights successful paths to equitable, human-centered experiences. It examines online enrollment for Modified Adjusted Gross Income (MAGI) Medicaid, SNAP, TANF, the Child Care Assistance Program (CCAP), and WIC.
This academic paper examines predictive optimization, a category of decision-making algorithms that use machine learning (ML) to predict future outcomes of interest about individuals. Through this examination, the authors explore how predictive optimization can raise concerns that make its use illegitimate and challenge claims about predictive optimization's accuracy, efficiency, and fairness.
