Food systems research—and more generally, policy and development research—often relies on structured surveys, administrative data, or experiments. While these approaches yield valuable quantitative insights, they tend to miss critical qualitative dimensions. One useful qualitative approach is open-ended interview questions. When such responses are collected in participants’ native languages, they can provide rich and nuanced information—for example, […]
Invest in climate adaptation – before disaster strikes
As global temperatures rise and climate-related disasters become more frequent, the need to adapt is rapidly increasing. That need for adaptation—from adjusting farming practices to diversifying livelihoods and strengthening infrastructure—is most acute in vulnerable low- and middle-income countries such as Bangladesh, Ethiopia, Haiti and Viet Nam.
2025 Global Report on Food Crises: Rising food insecurity, waning humanitarian assistance
The world faced a stark inflection point in 2024, as the continued rise in the number of people facing crisis-to-catastrophic levels of acute food insecurity meets sharp reductions in funding for humanitarian assistance. The 2025 Global Report on Food Crises (GRFC), released May 16, reports that 295.3 million people across 53 countries/territories faced acute food insecurity in […]
Agrifood science in transition: Building a sustainable architecture in the face of declining development aid
The future of agrifood science was in full view at CGIAR Science Week in Nairobi, Kenya, in April. Expert panels devoted to climate adaptation, digital innovation, soil health, equity, and food systems transformation brimmed with ambition and sophistication. There was much to celebrate: New tools, new partnerships, and bold visions of what research can deliver in the […]
Beyond the hype: Centering humans in CGIAR’s genAI research
The rise of artificial intelligence (AI)—and more recently, the expanding availability and growing public use of generative AI (genAI)—has sparked interest across scientific and policy communities. GenAI refers to a class of models that generate text, images, code, and other content by identifying patterns in vast datasets. These tools allow users to interact with AI […]
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