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First Short Course on Mathematical Sciences in Obesity Research
|Application Information:||pdf MS Word|
|Held On:||Mon 5/12/2014 - Fri 5/16/2014|
|Location:||Doubletree by Hilton Hotel Birmingham
808 South 20th Street
Birmingham, AL 35205
(205) 933-9000 phone; (205) 933-0920 fax
- Overview & Agenda
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. This course on the mathematical sciences in obesity research features some of the world’s finest scientists working in this domain to fill this unmet need by providing nine topic driven modules designed to bridge the disciplines.
Schedule of Events: [PDF file]
|Sample schedule of five day course. The four different sessions that comprise a module are identified by color codes (see right).
†Open problems represent unanswered questions in the field.
††Roundtable session will be used to develop projects through activities such as preparing and abstract or specific aims page
|Module identification color codes|
|Introduction to math method|
|Application of method to obesity|
|Hands-on interactive session|
We would like to thank our sponsors for their support: National Institutes of Health & Office of Energetics
This material is based upon work supported by the National Institutes of Health under Grant No. (R25DK099080-01). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Institutes of Health.