Modeling and Simulation

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Researchers frequently require a quantitative understanding of the likely consequences of different actions before they can advise decisionmakers and design effective policies. RAND develops and uses statistical, econometric, and other exploratory models and simulations to analyze the potential outcomes of different policies in a range of areas such as transportation usage, health care, patient safety, and military campaigns.

  • Two colleagues looking at data on a computer with a transparent holographic display, photo by gorodenkoff/Getty Images

    Report

    Machine Learning in Public Policy

    Machine learning (ML) can have a significant impact on public policy by modeling complex relationships and augmenting human decisionmaking. But overconfidence in results and incorrectly interpreted algorithms can lead to peril. With interpretability, ML can achieve its promise of more-equitable policy decisions.

    Nov 15, 2022

  • Profiles of four African Americans in front of a money tree, illustration by Kekeli Sumah/RAND Corporation, from Andre Hunter/Unsplash and Pete Soriano/RAND Corporation, from Atlas Illustrations/Adobe Stock and dar/Adobe Stock

    Essay

    What Would It Take to Close America's Black-White Wealth Gap?

    White Americans hold ten times more total wealth than Black Americans, a disparity that has worsened in recent decades. RAND researchers modeled wealth across millions of households and tested several funding scenarios to see which could most effectively close the gap.

    May 9, 2023

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