Related Experiment Video
Updated: Dec 17, 2025

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
Food for Thought: Opportunities to Improve Diversity, Inclusion, Representation, and Participation in Epidemiology
Abstract:
DeVilbiss et al. (Am J Epidemiol. 2020;189(10):998-1010) have taken on the noble and worthy cause of improving diversity, inclusion, representation, and participation across the Society for Epidemiologic Research (SER) membership-a reflection/microcosm of society. The objective of this commentary is to underscore the importance of diversity and to offer initiative ideas, which should be centered around inequity stemming from the widespread historical and contemporary maldistribution of power (e.g., decision-making) and resources (e.g., funding) within institutions and organizations. Nonexhaustive strategies could include SER becoming an opportunity and information hub that helps to fill resource gaps. It is also recommended that SER leadership learn from existing associations and scientific initiatives to improve the culture of science in general by equitably incorporating policy, systems, and environmental interventions throughout the career spectrum. Examples include the provision of tools and incentives to address explicit or implicit biases, enhance mentoring skills, and remove predictable barriers (e.g., financial). Explicitly labeling diversity/inclusion efforts should be avoided, and the initiative should be evaluated based on impact rather than intent. Our fates are interconnected, and we can all help increase diversity, inclusion, representation, and participation to improve our science in hopes of equitably improving public health.
More Related Videos
09:55Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
Published on: September 28, 2022
07:20Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
Published on: January 28, 2014
Related Concept Videos
Introduction to Epidemiology
Bias in Epidemiological Studies
Statistical Methods for Analyzing Epidemiological Data
Prevalence and Incidence
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Confounding in Epidemiological Studies
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...