This academic paper examines how federal privacy laws restrict data collection needed for assessing racial disparities, creating a tradeoff between protecting individual privacy and enabling algorithmic fairness in government programs.
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT)
This report outlines how the New Jersey Department of Human Services’ Division of Family Development (DFD) and the Department of Health (NJDOH) are increasing SNAP & WIC co-enrollment through data sharing, outreach, and systems integration.
American Public Human Services Association (APHSA)
The City of Boston's disability-aware standards for City resources and the collection of disability data from residents throughout government processes.
In this presentation, team members from the North Carolina Department of Health and Human Services provide an overview of the implementation process for cross enrollment with SNAP, WIC, and Medicaid in North Carolina.
North Carolina Department of Health and Human Services
This toolkit provides individuals and organizations with guidance, drawn from learning and experience, on how to use administrative and other data to inform program improvements. It collects concrete strategies and practitioner-tested tools designed to advance these efforts. These materials were developed in pilot projects with local Temporary Assistance for Needy Families (TANF) agencies as part of the TANF Data Collaborative (TDC).
A 2023 playback from the city of London’s Office of Technology and Innovation of recent efforts to improve data and technology innovation across the city.
City of London Office of Technology and Innovation (LOTI)
