Date: 22 – 23 May 2023
Registration deadline single module: 8 May 2023
Goals of the module
- are familiar with general principles and international policies on the inclusion of sex and gender in health research
- are able to critically appraise sex/gender bias in research design, methods, interpretation and publications
- are familiar with different methods and approaches to minimize sex/gender bias
- have a thorough understanding of the importance of sex and gender in their own research projects
Content of the module
How to design and conduct research without sex/gender bias: This module aims at identifying, understanding and minimizing sex/gender bias in the different research phases, including research design, population choice and sampling, data collection, data analysis, results interpretation, and recommendations drafting for clinical practice.
Further, to understand and act on sex and gender inequalities in clinical practice and health research, it is essential to have data that correctly reflect factors and pathways that induce differences. Is biology driving inequalities? Or social factors? How can we detangle the effects of sex on health, of gender on health, or of both sex and gender combined?
The module is organised with a balance of lectures and workshops. During workshops, participants will have the opportunity to work on their CAS thesis or other own research projects. Time will be allocated for individual work, group work and plenary discussions around the CAS theses (at any stage of research phases), with inputs from the experts.
In concrete terms, the module comprises the following blocks:
- General principles and policies, international perspective (JS)
- Gendered Innovations (CC)
- Measuring sex and gender (JS, CC)
- Conceptual frameworks (JS)
- Existing instruments (CC)
- Social determinants of health and lifecourse perspective (JS)
- Workshop 1- ideas and challenges of participants’ research projects (CAS or other)
- Aspects of sex in animal experiments (TB, PB)
- Precision medicine and Artificial intelligence – AI (AS)
- Workshop 2 – presentation and discussion of participants’ research projects (CAS or other)