A data report providing updated statistics on key federal programs that support the well-being of women, LGBTQI+ individuals, and their families, highlighting trends, coverage gaps, and areas for policy improvement.
Recent studies demonstrate that machine learning algorithms can discriminate based on classes like race and gender. This academic study presents an approach to evaluate bias present in automated facial analysis algorithms and datasets.
This report poses the question of whether states are prepared to meet the new Medicaid work reporting and renewal mandates introduced by HR 1, given ongoing strain from the post-pandemic “unwinding.”
This resource examines the role of Medicaid in West Virginia and documents how the post-pandemic Medicaid “unwinding” process affected residents, highlighting participant experiences and the program’s importance for health and economic stability.
A TLDR of the State CDO Archetypes report—covering how state CDO offices operate and the six archetypes that define them. Written for event attendees and government staff: governor's office, IT and budget leadership, legal and data officials, and legislators who oversee CDO funding and establishment.
This discussion paper advocates for states to use the implementation of OBBBA (One Big Beautiful Bill Act) as a catalyst to build integrated, cross-agency data systems.
This comprehensive research report evaluates the structural progress, disparities, and operational barriers surrounding artificial intelligence adoption within the United States federal government.
A policy report that presents a framework for assessing the economic and societal value of shared digital infrastructure and digital public infrastructure (DPI).
The report examines how states are using Medicaid Section 1115 demonstration projects to address health-related social needs, such as housing and nutrition, for pregnant and postpartum individuals and young children to improve health outcomes and reduce disparities.
