This article explores ongoing efforts to modernize state unemployment insurance (UI) systems, addressing long-standing inefficiencies and challenges exposed by the COVID-19 pandemic.
County workers typically spend most of their time trying to get income information right during eligibility interviews. This article provides several recommendations for asking about income, accounting for cognitive biases, under-reporting, and complexities in reporting income.
This report examines how implementing Asset Verification Systems (AVS) can streamline Medicaid eligibility determinations for seniors and individuals with disabilities by automating the verification of applicants' financial assets.
This Urban Institute report explores the impact of benefit cliffs, plateaus, and trade-offs on families receiving public assistance, examining how changes in earnings affect access to essential benefits like SNAP, Medicaid, and housing subsidies.
This toolkit offers strategies for advocates and state agencies to enhance the efficiency of eligibility verification processes for Medicaid and SNAP, aiming to reduce administrative burdens and improve access to benefits.
This report explores how AI is currently used, and how it might be used in the future, to support administrative actions that agency staff complete when processing customers’ SNAP cases. In addition to desk and primary research, this brief was informed by input from APHSA’s wide network of state, county, and city members and national partners in the human services and related sectors.
American Public Human Services Association (APHSA)
Code for America discusses the importance of a people-centered, digital-first safety net. Tools of technology, policy, and good implementation can advance a bold vision that will allow the nation to push through the end of the COVID-19 crisis.
This research summary presents findings from a randomized controlled trial demonstrating how mRelief’s simplified SNAP application significantly increases application rates among eligible individuals.
