Abstract
Better Science Enough? Autoethnography of a Collaboration to Measure Structural Racism
Innovation in aging, Vol.9(Supplement_2)
12/01/2025
DOI: 10.1093/geroni/igaf122.1476
PMCID: PMC12763496
Abstract
Addressing structural racism remains a critical challenge in health and social sciences, despite significant methodological advances over recent decades. This autoethnographic study explores a multidisciplinary collaboration’s approach to measuring structural racism through an intentional anti-racist praxis. Comprising biostatisticians, nurse scientists, epidemiologists, gerontologists, social scientists, and a nephrologist from diverse racial backgrounds, multi-career stages, and institutions, the research team employed innovative methodological approaches to examine structural racism’s complex dimensions. Our collaborative efforts included conducting life course history interviews with older adults racialized as Black, developing an infrastructure for structural racism measurement, organizing an interdisciplinary symposium, and producing a multi-season podcast exploring varied perspectives on racism measurement. Key themes emerging from our work centered on understanding structural racism through lived experiences, institutional infrastructures, and comprehensive measurement strategies. By critically reflecting on our collaborative process, we illuminate both the methodological challenges and potential transformative approaches to understanding and addressing systemic racialized inequities in health research.
Details
- Title: Subtitle
- Better Science Enough? Autoethnography of a Collaboration to Measure Structural Racism
- Creators
- Paris Adkins-Jackson - Columbia UniversityEmily Haozous - Pacific Institute For Research and EvaluationBoeun Kim - University of IowaAlicia Cooke - Johns Hopkins UniversityMelissa Hladek - Johns Hopkins MedicineLaura Samuel - Johns Hopkins UniversityDeidra Crews - Johns Hopkins MedicineSarah Szanton - Johns Hopkins University
- Resource Type
- Abstract
- Publication Details
- Innovation in aging, Vol.9(Supplement_2)
- DOI
- 10.1093/geroni/igaf122.1476
- PMCID
- PMC12763496
- ISSN
- 2399-5300
- eISSN
- 2399-5300
- Publisher
- Oxford University Press
- Language
- English
- Date published
- 12/01/2025
- Academic Unit
- Nursing
- Record Identifier
- 9985113253602771
Metrics
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