Introduction to Sociogenomic Analysis

This workshop provides an introduction to the field of sociogenomics, a research area that integrates genetics into the social sciences. The programme is designed for individuals with no prior knowledge of the field, and will cover the promises and challenges of this interdisciplinary approach.

The workshop will feature a combination of keynote presentations, research talks, and practical exercises. It aims to provide a comprehensive overview of the field and equip participants with the skills and knowledge to engage in sociogenomic research.

Outcomes:

• Fundamentals of Sociogenomics: Participants will gain a foundational understanding of sociogenomic research, including its theoretical underpinnings and potential applications in the social sciences.
• Practical Skills: The workshop will offer hands-on training in creating polygenic scores and conducting Mendelian Randomization analyses, which are key methods in this field.
• Networking and Mentorship: A significant component of the workshop is dedicated to fostering connections between junior and senior researchers. Participants will have ample opportunities to network and receive mentorship from established scholars in the field.
• Current Research and Methodologies: The programme will explore recent developments and methodologies, including the use of genetically-informed register data and causal inference methods. It will also address the challenges and ethical considerations associated with the use of polygenic scores.

Important:

Please note that:

• This is an in-person event at the Dental School of the University of Sheffield (lunch and refreshments will be provided).
• You should bring your own laptop to this event.
• Spaces at this event are limited. We therefore ask that you only book a place if you are sure that you will be able to attend.
• Bookings will close at 9.00am on Tuesday 25th November.
• When booking, we ask that you use your institutional (.ac.uk) email address and complete all fields of the booking form. Thank you for your understanding.