Math Modeling
In February 2018, I participated in BYU-Idaho’s first ever team in the COMAP Mathematical Modeling Competition. For this competition, we were given the choice between 6 different prompts, and were given 4 days to create a mathematical model that would offer a solution to the prompts.
Our analysis included the following steps:
- Summarizing the task in bullets to understand it better
- Researching climate science and political stability principles
- Reviewed machine learning algorithms to remind ourselves of their capabilites
- Went through an iterative process of defining how to represent climate change - we eventually chose temperature
- Went through another iterative process of defining the relationship between temperature and stability
- Created a report through LaTex
- Edited and revised throughout the next 2 months
- Created and presented a PowerPoint at MAA Math Convention in Logan, Utah.
The following link is our submitted report to the COMAP committee. In the end, we summarized that when the yearly average temperature change is greatest over a 5 year period, that is when the political stability is the most likely to change as a result. We also argued that the weaker the state, the more susceptable to climate change. (Note that the following report is the not latest report, and was changed to make the above linked powerpoint)