HERO Spotlight Event: Mapping Population Diversity - October 31, 2022
From Christy Navarro
Racial and ethnic classification in research and medicine is rooted in a centuries-long practice of categorizing humans into distinct groups to justify colonization, slavery, and genocide. The legacy of these harms to communities lingers today, as the U.S. still uses six distinct categories in racial and ethnic classification for official reporting. Just as the human genome’s complexity necessitates an updated reference, the spectrum of human diversity requires a dynamic and inclusive model to account for social, cultural, geographic, and genomic populations.
Here we present a graph-based data model and mobile application that facilitate the collection, storage, aggregation, and use of open-ended, as well as structured, data types. Categorical and free-text data from different studies can be combined to reveal complexity in human populations that racialized frameworks have erased.
- Characterize the history of racial and ethic classification in research and medicine
- Investigate a novel approach using graph-based data model
- Describe the available pre-doctoral and post-doctoral positions in translational data science and health and data equity