Genomics for Social Scientists – Epigenetics
June 16-20, 2025 (IN-PERSON)
Application (closes on February 17, 2025)
$200 course fee
Maximum 30 participants.
Researchers from the University of Michigan invite you to apply to the Genomics for Social Scientists – Epigenetics workshop, which will be held in-person, June 16-20, 2025 at the Institute for Social Research. The purpose of this NIA sponsored workshop on epigenetic research is to familiarize researchers with epigenetic data and to provide instruction on best practices for incorporating these data with social science analyses. The workshop focuses on providing reasonable, hands-on training for researchers wanting to analyze epigenetic data in social science research, using the newly released HRS epigenetic data as a model. Epigenetic data provide challenges and opportunities that are distinct from both genetic and social science data. The workshop uses a mix of live lectures, discussions and hands-on labs. Labs will utilize file formats that are identical to the HRS epigenetic data formats so that students will be able to easily apply their lab work to HRS (and many other studies’) data. This workshop highlights the unique and powerful aspects of analyzing epigenetic data in combination with social science data and will offer opportunities for interdisciplinary collaboration among attendees and with UM investigators.
Topics covered include:
Collecting genetic material for methylation analyses, quality control, data reduction (creating clocks and surrogate measures), EWAS, and available online resources.
Additional Information:
Please note that this workshop is IN-PERSON at The University of Michigan. Participants can expect workshop activities at the Institute for Social Research from 8:30 am-5 pm ET, along with two group social events during the week.
A small travel stipend is available to help offset the cost of travel to the workshop. Please attach a letter of support from your department head or an advisor to be considered for this stipend.
Applications for the course include a recent CV and a 1 page statement of training and interest. It is expected that students have some introductory background in genomics and computing (e.g. completed the GeSS or RSF introductory courses or something comparable).
Questions? Contact [email protected] for more information.