Millions in government benefits go unclaimed annually due to complex applications and lack of awareness. Simplifying processes, targeted outreach, and streamlined support can increase accessibility and ensure eligible individuals receive assistance.
This reporting explores how algorithms used to screen prospective tenants, including those waiting for public housing, can block renters from housing based on faulty information.
Our work with Pennsylvania to implement user experience and user interface changes shows that innovation can be easier to implement than it might seem.
This paper discusses the country’s chronic underinvestment in children and resulting outcomes, including new data on poverty rates among young children, is inextricable from the prospects of young children; and the remarkably comprehensive pandemic-era response policies, including which changes contributed most to reducing child poverty.
The Atlanta Fed’s CLIFF tools provide greater transparency to workers about potential public assistance losses when their earnings increase. We find three broad themes in organization-level implementation of the CLIFF tools: identifying the tar- get population of users; integrating the tool into existing operations; and integrating the tool into coaching sessions.
The report highlights a project to improve the Philadelphia Office of Homeless Services' (OHS) prevention and intake processes by implementing trauma-informed practices. In collaboration with staff, participants, and trauma experts, the project aimed to reduce distress for those accessing services while equipping staff with tools and training to better manage trauma-related interactions, creating a more supportive and empathetic service environment.
PolicyEngine is a nonprofit that provides a free, open-source web app enabling users in the US and UK to estimate taxes and benefits at the household level, while also simulating the effects of policy changes. By combining tax and benefits data, PolicyEngine helps individuals and policymakers better understand the impacts of existing policies and proposed reforms, using microsimulation models built from legislation and enhanced survey data.
Data provided by the NYC Mayor’s Office for Economic Opportunity regarding benefit, program, and resource information for over 80 health and human services available to NYC residents in all eleven local law languages.
This report by EPIC investigates how automated decision-making (ADM) systems are used across Washington, D.C.’s public services and the resulting impacts on equity, privacy, and access to benefits.
