Structural racism refers to the public and private policies, institutional practices, norms, and cultural representations that inherently create unequal freedom, opportunity, value, resources, advantage, restrictions, constraints, or disadvantage for individuals and populations according to their race and ethnicity both across the life course and between generations. Developing a research agenda on structural racism includes consideration of the historical and contemporary policies and other structural factors that explicitly or implicitly affect the health and well-being of individuals, families, and communities, as well as strategies to measure those factors. The Committee on Population of the National Academies of Sciences, Engineering, and Medicine convened a 2-day public workshop on May 16-17, 2022, to identify and discuss the mechanisms through which structural racism operates, with a particular emphasis on health and well-being; to develop an agenda for future research and data collection on structural racism; and to strengthen the evidence base for policy making. Speaker presentations and workshop discussions provided insights into known sources of structural racism and rigorous models of health inequity, revealed novel sources and approaches informed by other disciplines and related fields, and highlighted key research and data priorities for future work on structural racism and health inequity.

Contents

• The National Academies of SCIENCES • ENGINEERING • MEDICINE
• PLANNING COMMITTEE FOR A WORKSHOP ON STRUCTURAL RACISM AND RIGOROUS MODELS OF SOCIAL INEQUITY
• COMMITTEE ON POPULATION
• Acknowledgments
• Acronyms and Abbreviations
• Introduction
  • FOUNDATION OF THE WORKSHOP
  • ORGANIZATION OF THIS PROCEEDINGS
• 1. Setting the Foundation: Studying Race and Structural Racism Responsibly
  • RACE, RACE-MAKING, AND THE USE OF RACE TO CONTROL POPULATIONS
  • EMBRACING THE COMPLEXITY OF STRUCTURAL RACISM AND UNDERSTANDING THE INTERLOCKING FEATURES OF CULTURAL AND STRUCTURAL RACISM
  • REFLECTIONS AND DISCUSSION
• 2. Assessing the Landscape: The Measurement and Modeling of Structural Racism
  • EXPERIMENTAL DESIGN
  • QUASI-EXPERIMENTAL APPROACHES
  • QUANTITATIVE HISTORICAL DATA
  • DATA FOR UNDERSTUDIED POPULATIONS
  • MACHINE LEARNING
  • REFLECTIONS AND DISCUSSION
  • MIXED METHODS APPROACHES
  • PLACE-BASED APPROACHES
  • NOVEL APPROACHES TO SURVEY DATA
  • NOVEL APPROACHES TO ADMINISTRATIVE AND CROWD-SOURCED DATA
  • REFLECTIONS AND DISCUSSION
• 3. Moving Forward: Data Infrastructure Needs in Harnessing Data for Research in Structural Racism
  • HARNESSING DATA FOR RESEARCH ON STRUCTURAL RACISM
  • A RESEARCH OPPORTUNITY: A NEW COHORT OF THE NATIONAL LONGITUDINAL SURVEY OF YOUTH
  • STRENGTHENING INFRASTRUCTURE FOR RESEARCH ON STRUCTURAL RACISM AND AGING
  • INSIGHTS FROM THE CENTER FOR ANTIRACISM RESEARCH FOR HEALTH EQUITY
  • REFLECTIONS AND DISCUSSION
• 4. Key Takeaways
• REFERENCES
• Appendix A. Workshop Agenda
• Appendix B. Biographical Information for Workshop Presenters and Discussants

Suggested citation:

National Academies of Sciences, Engineering, and Medicine. (2022). Structural Racism and Rigorous Models of Social Inequity: Proceedings of a Workshop. Washington, DC: The National Academies Press. https://doi.org/10.17226/26690.

Digital Object Identifier: https://doi.org/10.17226/26690

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