This article introduces ideas42, a non-profit behavioral research and design firm applying insights from behavioral sciences, including behavioral economics (BE), social psychology, and other disciplines, for social good. Their behavioral design methodology is human-centered, but it incorporates scientific insights and iterative testing, applying observations about how people choose and act from experimental academic research to inform qualitative research.
This field guide is written for digital services and technology leaders working in government agencies at the federal, state, or local level. It’s meant to highlight the power of product thinking to government digital services. With this guide, agencies can start moving from a project management mindset to a product-based approach to delivering services.
Article describing the “time tax,” the costs to people applying or benefits in terms of spending substantial amounts of time navigating user-unfriendly interfaces. The article describes the necessity of simplifying safety-net programs and cross-coordinating across various social service programs.
This paper introduces the problem of semi-automatically building decision models from eligibility policies for social services, and presents an initial emerging approach to shorten the route from policy documents to executable, interpretable and standardised decision models using AI, NLP and Knowledge Graphs. There is enormous potential of AI to assist government agencies and policy experts in scaling the production of both human-readable and machine executable policy rules, while improving transparency, interpretability, traceability and accountability of the decision making.
Webinar that shares Nava’s partnership with the Gates Foundation and the Benefits Data Trust that seeks to answer if generative and predictive AI can be used ethically to help reduce administrative burdens for benefits navigators.
The Policy Rules Database (PRD), developed by the Federal Reserve Bank of Atlanta and the National Center for Children in Poverty, consolidates complex rules for major U.S. federal and state benefit programs and tax policies into a standardized, easy-to-use format. This database allows researchers to model public assistance impacts, simulate policy changes, and analyze benefits cliffs across various household scenarios using common rules and language across different programming platforms.
Minnesota is a good example of an organization that started small in its drive to integrate benefits programs. For instance, its recent statewide rollout of its online integrated benefit application website, MNbenefits.mn.gov, started as a pilot in 2020 with Code for America. The pilot encompassed two counties including Hennepin County, where Minneapolis is located. The pilot later expanded to four counties, then 16 and a tribal nation. The final roll out, which took 12 months to implement, included the state’s 87 counties and three tribal nations.
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.
The CUTGroup book explains how civic user testing (paying residents to test civic apps) can allow for more community engagement in civic tech. This book covers how to do UX testing, community engagement, and digital skills in one civic tech system.
This kit contains a collection of styles, components, and building blocks to quickly create action-forward emails for Unemployment Insurance programs within the U.S.
