Workshop: Genomics for Social Scientists

Genomics for Social Scientists

August 3-7, 2020 Postponed

Hosted by the Survey Research Center,
Institute for Social Research, University of Michigan
$200 course fee
Travel stipends available
Maximum 30 participants

Applications for 2020 are closed. Applications for June 2021 will open in December 2020.

Researchers from the University of Michigan invite you to apply to the 4th annual Genomics for Social Scientists workshop, held at the University of Michigan August 3-7, 2020. The purpose of this NIA-sponsored workshop is to familiarize researchers with genetic data and provide hands-on training on incorporating genetic information into social science analyses. Using both lecture and lab formats, participants will use tutorial versions of the Health and Retirement Study core survey data and genetic data files. The week-long workshop will offer a multitude of opportunities for interdisciplinary collaboration among attendees and feedback from University of Michigan investigators and course instructors. This year we are partnering with the University of Oxford will be featuring several guest presenters and an introduction to UK Biobank data.
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.

Guest Speakers

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
Columbia University
Presenting: Beyond ancestry: the many factors influencing the portability of polygenic scores

Questions? Contact for more information.

This course is supported by a grant from the National Institutes of Health (NIH) - National Institute on Aging (NIA) R25 AG 053227