This report reviews the features of intergovernmental software cooperatives, examines several different examples, looks at different categories of cooperatives and their governance structures, and inventories known cooperatives both within and outside of the United States.
This course is designed to help public professionals accelerate the process of finding and implementing urgently-needed evidence-based solutions to public problems.
This brief describes the TANF Data Collaborative (TDC), an innovative approach to increasing data analytics capacity at state Temporary Assistance for Needy Families (TANF) agencies.
The Digital Service Network is publishing two essays to kick-start new (or super-charge existing) theories of change for government Digital Service teams.
The Digital Benefits Network at the Beeck Center for Social Impact + Innovation at Georgetown University and Public Policy Lab co-hosted a webinar presenting breaking research on beneficiary experiences with digital identity processes in public benefits.
The article discusses effective strategies for training government partners in digital services, emphasizing the importance of prioritizing training, setting clear objectives, and fostering mutual understanding and trust.
This interview template includes questions designed to help teams conduct exploratory, semi-structured interviews with government stakeholders involved in program delivery to gather information that can help them evaluate the status quo of digital delivery in their organization.
The team developed an AI-powered explanation feature that effectively translates complex, multi-program policy calculations into clear and accessible explanations, enabling users to explore "what-if" scenarios and understand key factors influencing benefit amounts and eligibility thresholds.
Presentation covering the findings of a research study analyzing the structural and budgetary layout of of eleven US-based Digital Service Teams (DSTs) at the municipal, county, and state levels.
The team examined how AI, specifically LLMs, could streamline the case review process for SNAP applications to alleviate the burden on case workers while potentially improving accuracy.
This session from FormFest 2024 walked attendees through some of the major changes AI is bringing to form design. Learn about the National Head Start Association’s use of AI to reduce administrative burden and the Canadian Digital Service’s tips for protecting government applications systems from AI.
