Short Courses on Obesity, Mathematics, and Causal Inference in Summer 2023
Strengthening Causal Inference in Behavioral Obesity Research
Dates: Monday, June 26th - Friday June 30th
Format: In-person, Monday through Friday, Bloomington, IN, 8 AM to 5PM EST.
Course description: 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.
To apply: Visit our course site at Strengthening Causal Inference in Behavioral Obesity Research
The Mathematical Sciences in Obesity Research
Dates: Monday, July 31st – Friday, August 4th
Format: In-person, Monday through Friday, Bloomington, IN, 8 AM to 5PM EST.
Course description: 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.
To apply: Visit our course site at The Mathematical Sciences in Obesity
Spaces are limited to encourage more engagement among participants and with course faculty, so apply soon. Persons of all genders, race/ethnicities, and ability/disability statuses are strongly encouraged to apply.