In this summary, the authors use WBNS data to provide updated estimates of chilling effects in 2023 among immigrant families (i.e., in which the respondent or a family member living with them was not born in the US).
This video documents the Digital Benefits Network's Digital Identity Community of Practice launch, covering mission review, 2025 goals, California authentication innovations, and peer networking for equitable and effective digital identity in public benefits.
This brief synthesizes the manner in which the political and social service environments affect the intergenerational stability of non-citizen families, offering insights into programmatic supports.
American Public Human Services Association (APHSA)
This memo provides information to child and family service agencies on improving support for intersex children, adolescents, and their families through affirming practices, resources, and partnerships.
U.S. Department of Health and Human Services (HHS)
This report examines how governments use AI systems to allocate public resources and provides recommendations to ensure these tools promote equity, transparency, and fairness.
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.
A critical landscape report examining how the AI industry concentrates corporate power, reshapes public institutions, and advances economic and political interests that undermine democracy, labor, and shared prosperity.
This field guide provides research-based design principles for creating clear, usable forms that help voters accurately complete election-related paperwork and successfully take action.
The Policy2Code Prototyping Challenge explored utilizing generative AI technology to translate U.S. government policies for public benefits into plain language and code, culminating in a Demo Day where twelve teams showcased their projects for feedback and evaluation.
A research report examining how privacy and security risks are unevenly experienced across socioeconomic, racial, and ethnic groups, and how digital inequality shapes people’s exposure to harm and access to protective resources.
This research study analyzes the structural and budgetary layout of eleven US-based Digital Service Teams (DSTs) at the municipal, county, and state levels. In doing so, it sets out to answer the research question: “How are digital service teams structured and funded?”
