DK25 Home Page: Mathematical Sciences in Obesity Research

Course Introduction

Welcome to the video and material archive of the 2022 Mathematical Sciences in Obesity Research short course!

The mathematical sciences including engineering, statistics, computer science, physics, econometrics, psychometrics, epidemiology, and mathematics qua mathematics are increasingly being applied to advance our understanding of the causes, consequences, and alleviation of obesity. These applications do not merely involve routine well-established approaches easily implemented in widely available commercial software. Rather, they increasingly involve computationally demanding tasks, use and in some cases development of novel analytic methods and software, new derivations, computer simulations, and unprecedented interdigitation of two or more existing techniques. Such advances at the interface of the mathematical sciences and obesity research require bilateral training and exposure for investigators in both disciplines.

**The learning objectives of this course were to:**

	expose researchers from the mathematical sciences and obesity to the language and methodology at the interface of both disciplines, facilitate collaborations between the two groups through effective contact, and guide early investigators interested in conducting research at the interface of the mathematical sciences in obesity on the next career step.

Course Modules

The buttons below are linked to each course module. You can also access Modules from the navigation menu on the left.

This course content is offered under a Public Domain Links to an external site. license. Content in this course can be considered under this license unless otherwise noted.