This article examines the concept of "viral cash" and suggests that the future growth of basic income programs will depend on advocacy networks rather than traditional policy diffusion across jurisdictions.
This study found that using state-specific names for Medicaid programs increased confusion and reduced both positive and negative opinions about the program.
This study emphasizes the need for better tracking of gig economy data and qualitative insights, as interviews from the American Voices Project reveal how broader economic trends impacted individual lives and filled gaps during the pandemic.
This brief offers a new, anti-racist vision for transforming the Child Care and Development Fund (CCDF) into a program that actively pushes back against structural racism and advances racial equity and economic prosperity for all families.
Across the United States, a number of state and local governments are embarking on digital transformation efforts. This case study is part of the Beeck Center’s Digital Service Teams project, which is learning how leading government digital service units are introducing new approaches to service delivery. Beeck Center researchers are documenting work as it happens, including analyzing challenges and opportunities, and disseminating this information to benefit both the people of New York City and collaborators in other governments.
The Digital Service Network (DSN) spoke with Chief Digital Officer (CDO) Julia Gutiérrez of the Digital Services (DS) Team in the Department of Innovation and Technology (DoIT) and Chief Mariangely Solís Cervera of Boston’s Equity and Inclusion Cabinet.
A recap of the two-day conference focused on charting the course to excellence in digital benefits delivery hosted at Georgetown University and online.
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?”
NYC's My File NYC and New Jersey's unemployment insurance system improvements demonstrate how successful digital innovations can be scaled across various programs, leveraging trust-building, open-source technology, and strategic partnerships.
Sarah Bargal provides an overview of AI, machine learning, and deep learning, illustrating their potential for both positive and negative applications, including authentication, adversarial attacks, deepfakes, generative models, personalization, and ethical concerns.
