An economic analysis estimating how recipients of emergency SNAP benefits during the pandemic allocated additional funds, primarily to food consumption.
A case study on how North Carolina leveraged human-centered design, interagency collaboration, and data-sharing strategies to improve cross-enrollment in SNAP, WIC, and Medicaid, aiming to reduce administrative burden and better serve families.
American Public Human Services Association (APHSA)
Michigan's UIA director, Julia Dale, is leading the agency through transition by prioritizing lived experience, hope, grit, and values. Virginia's SNAP Program Manager, Michele Thomas, highlighted the success of Sun Bucks, a summer EBT child nutrition program that fed over 700,000 kids in its first year.
Many low-income households lack the savings to weather financial shocks like layoffs, and SNAP plays a crucial role in helping them manage essential expenses during difficult times.
This session from FormFest 2024 focused on how governments are scaling their SNAP benefits programs, with Maryland’s improved integrated benefits application and the Office of Evaluation Sciences’ changes to questions on the SNAP application.
A recent study challenges the common belief that income support programs like SNAP reduce employment, finding that for individuals with a work history, receiving SNAP benefits can actually increase long-term employment.
This report describes key elements of the American Rescue Plan Act and how it would reduce the projected poverty rate for 2021. Various projections regarding the effects of the policy are described in this report.
This paper describes results from fieldwork conducted at a social services site where the workers evaluate citizens' applications for food and medical assistance submitted via an e-government system. These results suggest value tensions that result - not from different stakeholders with different values - but from differences among how stakeholders enact the same shared value in practice.
CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
