The Mathematical Sciences in Obesity Research
Dates: Friday, July 23rd to Friday, August 13th, 2021
Format: Remote, synchronous sessions on Friday afternoons (Eastern), with asynchronous material through IU Expand.
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.
- 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.
Remote, synchronous sessions on Friday afternoons 12pm-3pm (Eastern), with asynchronous material through IU Expand.
Advanced graduate students, postdoctoral fellows, and early career scientists from quantitative and/or obesity disciplines. Persons of all genders, race/ethnicities, and ability/disability statuses are strongly encouraged to apply.
Because of the interactive nature of the course, enrollment will be limited. Priority application is June 6th at midnight Eastern. Applications will remain open until registration is filled.
A registration fee of $350 is due upon registration after an application is accepted. Priority registration is June 6th at midnight Eastern.
Scholarships are available. To be considered for a scholarship, fill out the appropriate sections in the application form.
For questions, please contact Ms. Ania Peczalska at email@example.com
This material is based upon work supported by the National Institutes of Health under Grant No. (R25DK099080). 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.