College of Engineering Unit:
The development team aims to produce a mathematical model for describing and predicting the population fluctuations in an Oregon coastal ecosystem resulting from predator-prey interactions. Our strategy utilizes symbolic regression, a machine learning algorithm recently introduced to the field of Ecology, to represent these relationships. The system will generate an equation or system of equations that will consider multiple variables and provide an accurate species abundance model for the Oregon marine intertidal region which was surveyed. The success of the project will provide an alternative to traditional modeling, which relies on statistical analysis, predetermined assumptions, and educated guesses about significant parameters.