By the end of the course, participants will be able to:

• Define and distinguish Gender+, DEI, and intersectionality in scientific research contexts.
• Explain why intersectional perspectives improve research quality, reproducibility, and social relevance.
• Analyze a research case (e.g., agriculture/life sciences) to identify inequalities in access, participation, and innovation uptake.
• Identify gendered assumptions and blind spots in research design and data practices.
• Propose improvements to a study protocol using sex-disaggregated and gender-sensitive data strategies.
• Formulate concrete actions to align their project with inclusive and responsible research principles.