On-line Registration: Closed

Held On: Mon 6/22/2015 - Fri 6/26/2015

Location: The University of Alabama at Birmingham
The School of Public Health
1665 University Boulevard, fifth floor, Room RPHB 507
Birmingham AL 35233

Lodging Options:
Doubletree by Hilton Hotel Birmingham
808 South 20th Street
Birmingham, AL 35205
Phone: (205) 933-9000
Fax: (205) 933-0920

Organizing Committee:

David Allison, Ph.D.
University of Alabama at BirminghamDiana Thomas, Ph.D.
Montclair State University

Overview

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.

The goal of our proposed short course is to:

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

We would like to thank our sponsors for their support: National Institutes of Health & Office of Energetics.

NIH Disclaimer: 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.