Integrating Diversity, Equity, and Inclusion into Preclinical, Clinical, and Public Health Mathematical Models
Document Type
Journal Article
Role
Author
Journal Title
Bulletin of Mathematical Biology
Volume
86
Issue
5
Publication Date
5-2024
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.
Repository Citation
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), 56. https://doi.org/10.1007/s11538-024-01282-4
