CGIAR GENDER platform (Generating Evidence and New Directions for Equitable Results)
GENDER (Generating Evidence and New Directions for Equitable Results) is CGIAR’s new platform designed to put gender equality at the forefront of global agricultural research for development. The Platform will transform the way gender research is done, both within and beyond CGIAR, to kick-start a process of genuine change toward greater gender equality and better lives for smallholder farmers everywhere.
Launched in January 2020, GENDER builds on a wealth of research and learning generated by the previous CGIAR Gender Network and the Collaborative Platform for Gender Research (2011–2019). It encompasses all 15 CGIAR Research Centers, 12 collaborative CGIAR Research Programs and 3 CGIAR System-wide Research Support Platforms.
New publications: Caste-gender intersectionalities in wheat-growing communities in Madhya Pradesh, India
Study reveals gaps and interactions between caste, gender and agricultural decision-making.
Discover groundbreaking research from CIMMYT and CGIAR to promote gender equality in agriculture and achieve a sustainable future.
New research explores how the adoption of Climate-Smart Agricultural Practices can help address environmental issues, reduce out-migration, and ensure household food security.
Building on impact of GENNOVATE, scientists recommend integrating gender-transformative research and methodologies into the new CGIAR Initiatives.
CIMMYT spatial economist studies how economic behavior varies across diverse geographical contexts, how smallholder farming systems in sub-Saharan Africa are evolving, and the need to revisit agricultural resources and policies accordingly.
Income-generating benefits of improved maize varieties hampered by patriarchal gender norms in rural Nigeria.
Workshop participants exchange ideas on expanding opportunities for women in the seed sector.
New study presents a typology of women’s decision-making in wheat in India.
A lack of consistent keywords when tagging research is leading to holes in searches for gender research across CGIAR, the world’s largest network of agricultural researchers. A more systematic and sharper use of keywords when describing datasets will improve findability in searches.