Improving crops has never been more relevant but funding is tighter while expectations are rising. How did CGIAR crop improvement Science Program, Breeding for Tomorrow, respond to this reality in 2025?
Demand system estimation—gauging how consumer choices respond to changing prices and incomes—is a crucial facet of food policy research, yet remains a highly specialized and underdeveloped area in development economics
COP30’s compromise on adaptation indicators positions CGIAR as a vital partner, leveraging its research to transform cautious political agreements into measurable, financeable actions that strengthen global food, land, and nutrition systems against climate change.
CGIAR is supporting Honduras’ National Institute of Statistics to integrate climate and displacement into national surveys. By strengthening household data systems, the collaboration makes climate-driven mobility and vulnerability visible, improving evidence for policies that anticipate displacement and support affected communities.
Agricultural R&D struggles to scale innovations without intentional private sector collaboration. This article shows how IITA uses evidence-based tools, licensing frameworks, and co-creation models to turn research outputs into market-ready solutions for farmers.
A one-day CIMMYT–CGIAR Scaling for Impact (S4I) workshop with BARI on 8 Dec 2025 brought together 25 early- and mid-career scientists (56% women) to strengthen creative and systems thinking for more innovative, inclusive, and scalable agricultural research.
The Evidence Briefer & Transfer Portal, at proof-of-concept stage, consolidate and synthesize market intelligence evidence into accessible formats such as short briefers at crop and country level using AI and an online evidence submission platform.
In an effort to digitalize livestock research and knowledge dissemination, ILRI has developed a new AI-powered chatbot that provides instant, evidence-based answers to animal health questions.