The guidelines for bias-free language contain both general guidelines for writing about people without bias across a range of topics and specific guidelines that address the individual characteristics of age, disability, gender, participation in research, racial and ethnic identity, sexual orientation, socioeconomic status, and intersectionality.
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.
Research identified five key obstacles that researchers, activists, and advocates face in efforts to open critical public conversations about AI’s relationship with inequity and advance needed policies.
Code for America partnered with the CBPP, Civilla, and Nava to launch the Integrated Benefits Initiative, testing and piloting human-centered approaches to improve outcomes and learn what an optimal safety net could look like. This article describes key takeaways from short-term pilots implemented as part of this project.
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.
Nava built flexible and reusable software and design components to make it easier for Vermonters to access their benefits. These components support Vermont’s long-term vision of integrating eligibility and enrollment processes for all of the state’s healthcare and financial benefit programs.
The team developed an application to simplify Medicaid and CHIP applications through LLM APIs while addressing limitations such as hallucinations and outdated information by implementing a selective input process for clean and current data.
Public procurement in state governments can be slow and inefficient, but artificial intelligence (AI) offers a solution by automating tasks, improving decision-making, and addressing workforce gaps, as highlighted in a joint brief by NASCIO and NASPO.
National Association of State Chief Information Officers (NASCIO)
This annotated bibliography compiles key resources on data linkage and integration for research and statistical purposes, focusing on best practices, governance, and technical considerations.
This report provides detailed guidance for states on how to verify compliance with and exemptions from Medicaid work reporting requirements established under H.R. 1.
