After Cyclone Idai, women in rural Zimbabwe carry the hidden cost of recovery. This blog reveals how unpaid care work expands under climate stress, shaping food security, time poverty, and women’s everyday survival.
Climate security is shaped by complex, local interactions. Drawing on leading researchers, this blog explores how climate stress, conflict, data gaps, and system dynamics are reshaping how we study risk, resilience, and peace.
Over the past five years, the Department of Cooperative and Rural Development (DCRD), under Vietnam’s Ministry of Agriculture and Environment, has collaborated closely with the Alliance of Bioversity International and CIAT and the National Institute of Nutrition (NIN) to advance the integration of nutrition-sensitive agri-food systems (NSAF) into national policy frameworks.
CGIAR Executive Managing Director, Ismahane Elouafi, named as one of the continent's top change makers.
The high-level meeting at UNEA-7 brought together policymakers, scientists, farmers, pastoralists, and private-sector leaders to discuss how to turn innovation into real impact for climate-resilient land, water, and food systems.
Irrigation is a potentially transformative technology for sub-Saharan Africa (SSA) that can address many of the region’s food system challenges, including growing food import dependence and stagnating rural employment—both linked to low agricultural productivity growth, poor market access, and weak financial systems—as well as climate change, characterized by unpredictable rainfall, prolonged dry spells, and floods.
While Uzbekistan offers generous subsidies to tackle its water crisis, a hidden barrier remains: the power grid. Our research reveals why even 92% subsidies fail to convince many farmers when unreliable electricity and poor technical support make new technologies a risky bet.
Increasing river salinity is a rising threat in Bangladesh’s coastal Ganges-Brahmaputra-Meghna Delta, affecting agriculture, livelihoods, and drinking water. Under CGIAR Scaling for Impact, IWMI has developed an AI/ML-driven salinity forecasting and advisory system to help farmers and water managers time sluice gate operations around polders to reduce salinity risk.