Category: Multilevel Computational Modeling
From local environmental justice issues to global phenomena such as climate change, complex problems often require systems thinking to address them. Since 2018, the National Science Foundation-funded Multilevel Computational Modeling project, a collaboration between the Concord Consortium and the CREATE for STEM Institute at Michigan State University, has researched how the use of our SageModeler […]
The authors of the 1972 book entitled The Limits to Growth set out to answer a critically important question. Can Earth sustain a human population that pursues a goal of continual economic growth? Based on a computer model they created, their answer was both guarded and cautionary: “If the present growth trends in world population, […]
Linsey Brennan is a doctoral student at Michigan State University and a researcher on the Multilevel Computational Modeling Project. Chemistry teachers Scott Hanson and Tim Muhich have used SageModeler to help students model systems and explain real-world phenomena for the past four years. According to the pair of teachers at the Battle Creek Area Math […]
Our Multilevel Computational Modeling collaborative project with Michigan State University has developed a novel theoretical framework based on a literature review of modeling, systems thinking (ST) and computational thinking (CT). The framework, which was also informed by years of work developing our SageModeler systems modeling software and researching student modeling, highlights how both ST and […]