Systems science has been instrumental in breaking new scientific ground in diverse fields such as meteorology, engineering and decision analysis. However, it is just beginning to impact public health. This seminar is designed to introduce students to basic tools of theory building and data analysis in systems science and to apply those tools to better understand the obesity epidemic in human populations. There will also be a lab in which students will use a simple demonstration model of food acquisition behavior using agent-based modeling on standard (free) software (netlogo). 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.
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There are 4 modules in this course
Obesity, the facts of the case, and human populations through a systems science lens.
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7 videos1 assignment
Complex systems, system dynamic models, and developing a stock and flow. This module includes a lab lesson.
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6 videos1 reading2 assignments
Social networks and obesity, neighborhoods and noshing, and prices and poverty.
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9 videos1 assignment
Agent based modeling and conceptual motivation for agent based modeling. This module includes a lab lesson.
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8 videos2 readings2 assignments
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Status: PreviewThe University of Edinburgh
Status: PreviewNanyang Technological University, Singapore
Status: Free TrialIcahn School of Medicine at Mount Sinai
Status: PreviewThe University of Sydney
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Reviewed on Apr 1, 2019
Fantastic course. Really thought provoking, and well presented. Useful as an intro to systems thinking, and as a way to understand the obesity epidemic in a nuanced way.
Reviewed on Oct 28, 2016
Good course, the lab classes can be improved further.not easily comprehensive
Reviewed on Sep 12, 2017
This course was surprisingly challenging and educational. I had little background in system science, and very much enjoyed the learning process!
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