Integrating Diversity, Equity, and Inclusion into Preclinical, Clinical, and Public Health Mathematical Models

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Abstract

Mathematical modelling applied to preclinical, clinical, and public health research is critical for our understanding of a multitude of biological principles. Biology is fundamentally heterogeneous, and mathematical modelling must meet the challenge of variability head on to ensure the principles of diversity, equity, and inclusion (DEI) are integrated into quantitative analyses. Here we provide a follow-up perspective on the DEI plenary session held at the 2023 Society for Mathematical Biology Annual Meeting to discuss key issues for the increased integration of DEI in mathematical modelling in biology.

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Sheen, J., Curtin, L., Finley, S., Konstorum, A., McGee, R., & Craig, M. (2024). Integrating Diversity, Equity, and Inclusion into Preclinical, Clinical, and Public Health Mathematical Models. Bulletin of Mathematical Biology, 86(5). https://doi.org/10.1007/s11538-024-01282-4

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