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Why Can’t We Better Prepare for Extreme Weather? | Catherine Nakalembe | TED
AI Summary
This video explores the "translation gap" between advanced climate technology and real-world impact. Learners will discover why, despite having sophisticated satellite data and AI, smallholder farmers still face predictable crises like famine. The speaker introduces the concept of the "messy middle"—the space where high-tech predictions fail to turn into tangible solutions like irrigation or financing. By watching, you will learn about the six fundamental shifts needed to move from "prediction to prevention." This talk is an excellent resource for understanding how to bridge the gap between data-driven insights and human-centered solutions to build global resilience.
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Subtitles (151 segments)
We can predict droughts, floods weeks, even months in advance,
yet we still see the same crises unfold.
Crop failure, economic and environmental devastation and displacement:
the same crises that have trapped famine communities for generations.
This is obviously not a prediction problem,
it's a translation problem,
one that I came to realize painfully in 2015.
Equipped with the best tools available at the time,
including that very expensive fancy drone,
I spent August 2015 with my team in Karamoja,
documenting yet another failed cropping season,
one that I predicted months earlier, using satellite data.
This was part of the worst drought in East Africa in decades,
affecting 30 million people in Uganda, Kenya, Somalia and Ethiopia.
After my field work, I did something researchers rarely do.
I went straight to the office of the prime minister,
and 24 hours after my second presentation to several ministers,
food trucks were dispatched to Kamagaya
on September 26th, 2015, exactly 10 years this week,
which marked the first time the office used satellite data
to trigger an emergency response.
Following this, I helped design a program
that would proactively release financing to support alternative employment
for communities affected by drought.
This program went on to support 450,000 people over five years,
saving the government millions in emergency response
and deploying several projects that included environmental restoration.
But what haunted me then, and is still true today, is this.
If we could mobilize emergency response within 24 hours,
why couldn't we prevent this predictable crisis from unfolding?
This paradox has deepened
Full subtitles available in the video player
Key Vocabulary (48)
To 'mary' something means to thoroughly clean or tidy it up, often with a focus on making it spotless. It implies a deep and meticulous cleaning process that leaves an area or object in pristine condition.
Something that actually exists in the world and is not a dream, a lie, or an imitation. It is used to describe things that are genuine, true, or physical rather than imaginary.
Data refers to facts, numbers, or information collected together for reference or analysis. In a modern context, it often describes the digital information stored on or used by a computer or smartphone.
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