June 15-19, 2020
Hosted by the Survey Research Center,
Institute for Social Research, University of Michigan
$200 course fee
Travel stipends available
Maximum 30 participants
The purpose of this workshop is to familiarize researchers with genetic data and provide instruction on how to incorporate genetic information into social science analyses. This one-week genomic data workshop will focus on providing hands-on training for researchers working at the intersection of genetics and social science research, using data from the Health and Retirement Study (HRS) as a model. Using tutorial versions of the HRS core survey data and HRS genetic data files, the workshop will instruct on several current methods of genomic analyses. Lectures will also discuss issues surrounding collection of samples, working with labs, ethics, and collaboration with biological experts. A key component of this workshop is the opportunity for interdisciplinary collaboration among attendees, with University of Michigan investigators, and course instructors.
This course is designed to primarily benefit researchers who already have experience conducting statistical examinations of behavioral traits, but who may have little or no genetic or biological training. Investigators interested in a better understanding of genomic analysis as it applies to social and behavioral science research are encouraged to apply.
Presented in partnership with the University of Oxford, the 2020 guest speakers include:
David Weir, PhD
University of Michigan
PI of the Health and Retirement Study
Molly Przeworski, PhD
Presenting: Beyond ancestry: the many factors influencing the portability of polygenic scores
Questions? Contact email@example.com for more information.