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2019 Mathematical Sciences in Obesity Research is a Course

2019 Mathematical Sciences in Obesity Research



Full course description

About this Course

This is the video and material archive of the 2019 Mathematical Sciences in Obesity Research Short Course supported by NIH NIDDK grant R25DK099080.

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 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,
  • To facilitate collaborations between the two groups through effective contact, and
  • To guide early investigators interested in conducting research at the interface of the mathematical sciences in obesity on the next career step.

How to Access

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Indiana University School of Public Health-Bloomington

National Institute of Diabetes and Digestive and Kidney Diseases


Length: Self-paced


Credit: None


Audience: Advanced graduate students, postdoctoral fellows, and early career scientists with interest in behavior-oriented obesity research

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