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📄Data Diversity Theme survey: Challenges in embedding inclusion and diversity in data-driven health research
Share your views and help us shape the priorities of the Data Diversity theme for the next year! The Turing Way Community, & Scriberia. (2024). Illustrations from The Turing Way: Shared under CC-BY 4.0 for reuse. Zenodo. https://doi.org/10.5281/zenodo.13882307 Health datasets can fail to fully represent the populations they aim to serve. When certain groups are missing or measured inconsistently, research findings may not generalise, and data-driven tools can perform less we
1 day ago
The Poverty You Can’t See: Scarcity, Stress, and the Health Data That Miss Them (Part 1)
Socioeconomic status (SES) is part of the default demographic toolkit in health research — right up there with age and sex. And much like those, it’s often included reflexively, adjusted for automatically, and measured using whatever data happen to be available. Part 1 lays out the limits of income-based SES measures and introduces alternative ways to capture deprivation, including household-level metrics and geographic proxies.
4 days ago
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