
The podcast explores the disconnect between advanced climate prediction technology and its effective application in preventing recurring crises in farming communities. It argues that despite having the tools to predict droughts and other climate disasters, a "translation problem" exists, hindering the delivery of tangible solutions to farmers. Catherine Nakalembe uses the example of a Tanzanian farmer named Mary to illustrate how the lack of access to resources, financing, and infrastructure prevents farmers from utilizing available climate information to improve their yields and resilience. Nakalembe proposes five fundamental shifts, including prioritizing reliability over perfection in models, proactively financing climate response, and recognizing the crucial role of people on the ground as accelerators, to bridge the gap between prediction and prevention and empower farmers.
Sign in to continue reading, translating and more.
Continue