MINDS Cast Ep. 6 – Streamlined Hybrid Modeling in Net Logo w/ Takuma Ono (University of Bergen)

Tak Ono, recent graduate of SD master’s program at University of Bergen, will walk through a hands-on exercise on converting an SIR epidemic model into a hybrid model using NetLogo.

System dynamics (SD) is considered to be an effective methodology in modeling aggregated, or “top-down” systems. Agent-based modeling (ABM) is considered a counterpoint to the SD approach, colloquially referred to as a “bottom-up” approach. ABM is comprised of decentralized decision-making individual elements—or agents—and their micro-interactions among themselves and their environment. Leveraging his recent thesis work in hybrid models, Tak Ono will walk through a structured approach in taking an existing SD model and incorporating Agent-based elements using the NetLogo software. In the time remaining after the exercise, conversations around what kind of problems may benefit from a hybrid approach is encouraged.

About the presenter: Takuma “Tak” Ono is a recent graduate from the Master of Philosophy System Dynamics program from University of Bergen, Norway. His interest in innovative modeling methodologies led him to pursue a master’s thesis project investigating the viability of hybridizing System Dynamics with Agent-based models.

Please, ensure you have NetLogo software downloaded on your machine in advance. You may download it via this link: https://www.netlogoweb.org/

Zoom Link: https://uib.zoom.us/j/5314272202?pwd=RE1QZWhWeFVyYnQxMnM0bDU2aEdPdz09&omn=65496995092