Funding Source: Guggenheim Foundation – Research on social inequality is naturally discipline-based: inequality researchers tend to focus on the inequality types of most interest to their discipline (e.g., income inequality to economics, life span inequality to demography). This has the unfortunate effect of keeping the advances in our understanding of inequality and its dynamics largely siloed and unknown to researchers in other disciplines. But because inequality research is ultimately grounded in mathematics — the measurement of inequality is an inherently mathematical problem — one can therefore use mathematics as a common language that inequality researchers across disciplines can draw on to jump-start conversations about advances in inequality research. This project seeks to do just that. Its chief aim is to investigate inequality metrics in economics, public health, and the broader social sciences using a transdisciplinary and synergistic approach, and then port over one discipline’s known results, insights, and methodologies for each metric to the other two disciplines and disseminate the findings widely through publications in open access scholarly journals. This approach will yield new strategies for reducing inequality unknown to researchers in one discipline yet well-known to researchers in other disciplines and thus has the potential to accelerate the pace of inequality research.