2022 article
AN APPROACH TO POPULATION SYNTHESIS OF ENGINEERING STUDENTS FOR UNDERSTANDING DROPOUT RISK
2022 WINTER SIMULATION CONFERENCE (WSC), pp. 677–688.
![UN Sustainable Development Goals Color Wheel](/assets/un-sdg/SDG-Wheel_WEB-small-9baffff2694056ba5d79cdadadac07d345a206e13477bd1034bd8925f38f3c4b.png)
Dropping out of STEM remains a critical issue today, and it would be useful for universities to have reliable predictive models to detect students' dropout risks. Generating a synthetic population of the true population could be useful for simulating the system and testing scenarios. We outline an approach for creating a synthetic population of students in STEM and build a microsimulation which simulates students' risk behaviors over time. This process has identified several areas that must be addressed before the synthetic population represents the true population in a simulation.