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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

状态:Economics
状态:Network Analysis
初级课程小时

精选评论

JN

5.0评论日期:Oct 12, 2023

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

CS

5.0评论日期: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.

DS

5.0评论日期:Sep 6, 2016

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

OA

5.0评论日期:Feb 9, 2017

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

BA

4.0评论日期:Aug 19, 2018

Useful course with excellent learning materials. Thank you!

HH

5.0评论日期:Sep 11, 2017

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

MP

4.0评论日期:Apr 27, 2020

enjoyed the course and learning about systems science soft ware.

RA

4.0评论日期:Oct 27, 2016

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

HD

4.0评论日期:Aug 4, 2017

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

DS

5.0评论日期:Jul 13, 2019

Tough to understand for someone from a non-math background. However basic concepts are easy to discern and learn in relation to obesity

PV

5.0评论日期:Sep 11, 2017

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

KO

5.0评论日期:Feb 1, 2023

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

所有审阅

显示:20/53

Dr SUSHILKUMAR SOMPUR
5.0
评论日期:Jul 13, 2019
David Cole
5.0
评论日期:Aug 10, 2019
Charles de Segundo
5.0
评论日期:Apr 1, 2019
Hugo Gustavo Gonzalez Hernandez
5.0
评论日期:Sep 12, 2017
olivier hergault
2.0
评论日期:Dec 18, 2018
George Eldon
2.0
评论日期:May 6, 2020
Dean Plassaras
5.0
评论日期:Sep 2, 2018
Luis Wolmer Diniz Mariani
5.0
评论日期:Feb 25, 2018
Daniel Fernández Puerta
5.0
评论日期:Apr 11, 2020
Amanda Allen
5.0
评论日期:Jun 28, 2017
Alex Chen
5.0
评论日期:Aug 4, 2020
Altaf Mazhar Soomro
5.0
评论日期:Oct 28, 2019
Luis Trías
5.0
评论日期:Sep 29, 2017
GANDY KERLIN DOLORES MALDONADO
5.0
评论日期:Apr 8, 2020
Paige Vlieger
5.0
评论日期:Sep 11, 2017
Maria de Jesus Xavier Aguirre
5.0
评论日期:Mar 20, 2022
Joao Costa
5.0
评论日期:May 24, 2020
Andrea Bohórquez
5.0
评论日期:Nov 29, 2016
Sedanur Görmeli
5.0
评论日期:Dec 25, 2023
Jagatheesa Naidoo
5.0
评论日期:Oct 13, 2023