Perhaps of interests to some of you.
Vitaly
*Short Courses on Obesity, Mathematics, and Causal Inference recommence
in summer 2019!*
Greetings! We invite you to join us at one or both of our of our
five-day NIH-funded short courses being hosted this summer.
*The Mathematical Sciences in Obesity Research*
*June 3 -7, 2019, Baltimore, MD*
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 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.
*Strengthening Causal Inference in Behavioral Obesity Research *
*July 29 b
Identifying causal relations among variables is fundamental to science.
Obesity is a major problem for which much progress in understanding,
treatment, and prevention remains to be made. Understanding which social
and behavioral factors cause variations in adiposity is vital to
producing, evaluating, and selecting intervention and prevention
strategies. In addition, developing a greater understanding of obesity's
causes requires input from diverse disciplines including statistics,
economics, psychology, epidemiology, mathematics, philosophy, and
behavioral or statistical genetics. However, applying techniques from
these disciplines does not involve routine well-known 'cookbook'
approaches. Rather, an understanding of the underlying principles is
required so that the investigator can tailor approaches to specific and
varying situations.
*For full details of each of the courses, please refer to our websites:*
The Mathematical Sciences in Obesity
<https://training.publichealth.indiana.edu/>
Strengthening Causal Inference in Behavioral Obesity Research
<https://training.publichealth.indiana.edu/>
*/Travel scholarships are available to selected early career
investigators./*
Please apply ASAP, as spaces are limited. Women, members of
underrepresented minority groups, and individuals with disabilities are
encouraged to apply. We look forward to seeing you this summer!
Sincerely,
David Allison, PhD, Indiana University
Diana Thomas, PhD, USMA West Point
Kevin Fontaine, PhD, University of Alabama at Birmingham
Andrew Brown, PhD, Indiana University
This e-mail list is intended for those who have an interest in mathematics at the University of Tennessee. All current UT math majors and minors should be on this list in order not to miss important announcements. To add or remove yourself from the list, visit listserv.utk.edu.
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