Full course description
About this Course
This is the video and material archive of the 2022 Mathematical Sciences in Obesity Research Short Course supported by NIH NIDDK grant R25DK099080.
The mathematical sciences including engineering, statistics, computer science, physics, econometrics, and mathematics qua mathematics are increasingly being applied to advance our understanding of the causes, consequences, and alleviation of obesity. These applications go beyond routine approaches easily implemented in available commercial software. Rather, they increasingly involve computationally demanding tasks, development of novel measurement techniques and software, new quantitative derivations, and an exceptional degree of interdigitation of two or more existing techniques. Advances at the interface of the mathematical sciences and obesity research require bilateral training for investigators in both disciplines.
The learning objectives of this course are:
- 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.
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