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Johns Hopkins University

Systems Science and Obesity

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. 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

Status: Economics
Status: Policy Analysis
BeginnerCourse11 hours

Featured reviews

CS

5.0Reviewed Mar 31, 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.

JN

5.0Reviewed Oct 12, 2023

Greate Course - looking forward to the advanced System Science Course by JHU

RA

4.0Reviewed Oct 27, 2016

Good course, the lab classes can be improved further.not easily comprehensive

DS

5.0Reviewed Sep 6, 2016

Well round course, excelent for everybody ho is in charge of public health.

HD

4.0Reviewed Aug 4, 2017

It is only that the language is little hard for non native speakers

OA

5.0Reviewed Feb 9, 2017

Inspirational, novel, one of its kind. Am glad to be part of the course

BA

4.0Reviewed Aug 19, 2018

Useful course with excellent learning materials. Thank you!

MP

4.0Reviewed Apr 27, 2020

enjoyed the course and learning about systems science soft ware.

KO

5.0Reviewed Feb 1, 2023

It is a great course, new approach to obesity epidemic.

HH

5.0Reviewed Sep 11, 2017

Very interesting and useful tools for analyzing complex networks and designing interventions.

NS

5.0Reviewed Aug 22, 2018

Finally, I finish this course. Thank you for your shared knowledge.

PV

5.0Reviewed Sep 11, 2017

This course was surprisingly challenging and educational. I had little background in system science, and very much enjoyed the learning process!

All reviews

Showing: 20 of 53

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5.0
Reviewed Jul 14, 2019
David Cole
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Reviewed Dec 18, 2018
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Joao Costa
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