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The central organizing idea of the course is to examine the obesity epidemic at a population level as an emergent properties of complex, nested systems, with attention to feedback processes, multilevel interactions, and the phenomenon of emergence. While the emphasis will be on obesity, the goal will be to explore ways in which the systems approach can be applied to other non-communicable diseases both nationally and internationally.

Topics will include: a the epidemiology of obesity across time and place, b theories to explain population obesity, c the role of environments and economic resources in obesity c basic concepts and tools of systems science, d modeling energy-balance related behaviors in context, e agent-based models, systems dynamic models, and social network models. Tough to understand for someone from a non-math background.

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FAMoS: A Flexible and dynamic Algorithm for Model Selection to analyse complex systems dynamics

However basic concepts are easy to discern and learn in relation to obesity. Very interesting and useful tools for analyzing complex networks and designing interventions.


  • Managing Organizational Culture for Effective Internal Control: From Practice to Theory!
  • Numerical Computer Methods, Part C.
  • Handbook of Markov Decision Processes: Methods and Applications;
  • Modelling, Estimation and Control of Networked Complex Systems.

What Is a Complex System? Systems Science and Obesity. Enroll for Free.

From the lesson. Complex systems, system dynamic models, and developing a stock and flow. This module includes a lab lesson. Nuts and Bolts of System Dynamics Models