Bridging the gap: Why regional forecasts must become local decisions
In Southern Africa, a seasonal forecast is more than just a map of probabilities; it is a lifeline for millions of producers.
In Southern Africa, a seasonal forecast is more than just a map of probabilities; it is a lifeline for millions of producers.
On 18 December 2025, an inter-provincial workshop in Prey Veng, Cambodia brought together 83 stakeholders from government, research, communities, and development partners to share lessons from district-led food systems governance.
Across Nepal’s diverse landscapes, farmers and partners are testing maize innovations that improve yields, resilience, and livelihoods, but the biggest challenge is moving from local wins to sustainable scale. Scaling for Impact (S4I) program is helping to build structured pathways that connect proven research with markets, investment, and policy.
Addressing the intersecting challenges of climate change, conflict and inequality in the MENA region requires more than isolated interventions - it demands coordinated, evidence-driven action. A gender-responsive learning agenda offers a critical opportunity to align research, policy, and practice, amplify women’s voices and invest in solutions that work at scale.
Thirteen CGIAR scientists have been selected as authors for the IPCC’s Seventh Assessment Report, marking the largest CGIAR contribution to an IPCC cycle to date. This blog examines the significance of this representation and its implications for global climate policy.
Partnership will focus on agricultural innovation and sustainable practices to boost food security.
At COP30, CGIAR scientists contributed directly to the development of the Belém Adaptation Indicators under the Global Goal on Adaptation. This piece examines what the adopted indicators mean for food, land, and water systems, the role of scientific expertise in global adaptation policy, and where CGIAR’s research can support implementation beyond negotiation.
In Ethiopia, wheat farmers are boosting yields by up to 38% after researchers and partners validated machine-learning-based fertilizer recommendations across multiple regions, replacing blanket advice with site- and season-specific guidance that improves incomes and resilience.