In recent years, women’s under-representation in science, technology, engineering and math (STEM) fields has gained widespread attention in public, academic and policy circles. To help address this increased demand, widespread efforts have encouraged women participation in STEM fields; although notable, such efforts would be bolstered by an awareness of the backgrounds, characteristics and personality traits of students who choose these paths to begin with.
In this project, some of these factors are applied to model the dynamics of a population of female and male individuals interacting, studying, being influenced by their environment and finally choosing whether to pursue a STEM career or not. The main goal is exploiting simulated data to understand the interplay between these factors, and possibly bring new insights to light.
- To implement the model (CSGenderGap.alp), the AnyLogic Simulation Software was used.
- report.pdf contains a detailed description of the implementation and a comprehensive analysis of obtained results.
- results.ipynb contains the code written to analyze results.
