High school Internship Program in Integrated Mathematical Oncology (HIP IMO) - five-year experience at Moffitt Cancer Center
H. Enderling, P. M. Altrock, N. Andor, D. Basanta, J. S. Brown, R. Gatenby, A. Marusyk, K. A. Rejniak, A. Silva, A. R. Anderson
Abstract
Modern cancer research, and the wealth of data across multiple spatial and temporal scales, has created the need for researchers that are well-versed in the life sciences (cancer biology, developmental biology, immunology), medical sciences (oncology) and natural sciences (mathematics, physics, engineering, computer sciences). College undergraduate education is traditionally provided in disciplinary silos, which creates a steep learning curve at the graduate and postdoctoral levels that increasingly bridge multiple disciplines. Numerous colleges have begun to embrace interdisciplinary curricula, but students who double-major in mathematics (or other quantitative sciences) and biology (or medicine) remain scarce. We identified the need to educate junior and senior high school students about integrating mathematical and biological skills, through the lens of mathematical oncology, to better prepare students for future careers at the interdisciplinary interface. The High school Internship Program in Integrated Mathematical Oncology (HIP IMO) at Moffitt Cancer Center has so far trained 59 students between 2015 and 2019. We report here on the program structure, training deliverables, curriculum, and outcomes. We hope to promote such interdisciplinary educational activities early in a students career.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Building a virtual summer research experience in cancer for high school and early undergraduate students: lessons from the COVID-19 pandemic
T. W. Corson, S. M. Hawkins, … H. Nakshatri·bioRxiv·Nov 23, 2020
- Cancer-Induced Immunosuppression can enable Effectiveness of Immunotherapy through Bistability Generation: a mathematical and computational Examination
V. Garcia, S. Bonhoeffer, F. Fu·bioRxiv·Jan 8, 2020
- From concept to clinic: mathematically informed immunotherapy
Rachel Walker, Heiko Enderling·Current Problems in CancerPeer-reviewed·Jan 1, 2016
- Supporting Computational Apprenticeship through educational and software infrastructure. A case study in a mathematical oncology research lab
A. Madamanchi, M. Thomas, … P. Macklin·bioRxiv·Jul 31, 2020
- Development and Implementation of a Minority Health International Infectious Diseases Research Training Program
Angela Sy, Diane Wallace Taylor, … Vivek R. Nerurkar·bioRxiv·Jan 5, 2025
- Spatial IMIX: A Mixture Model Approach to Spatially Correlated Multi-Omics Data Integration
Ziqiao Wang, Bogdan A. Czerniak, Peng Wei·bioRxiv·Jul 15, 2023