Catherine Nakalembe

We don't want to waste their time.

So we need to think about their context and then we can build from their context.

Figuring out where the things that are accessible in their context

if you can receive information via text message or if you have to call somebody or if there's like some kind of village structure where people meet.

And my coolest idea that I had recently was using my knowledge, tools, et cetera, and getting somebody who runs a radio program to help translate it.

Not translate it in a language, but like explain it the way they would explain it.

to the farmer.

They have listeners who will get that information.

They'll say, well, we know there's a drought coming.

Information shows all of this area will be affected.

These are some of the recommendations, some of the things you can do.

That would be so much better than my next bulletin on drought in Somalia, for example.

But creating that knowledge by working with local people is such a long process that doesn't fit a regular timeline.

My work, if you can believe it, involves a lot of WhatsApp groups of trying to figure out things.

I'm going to tell you about a project that I have that was like literally blood and sweat, love and care.

So from my long work looking at drought analysis, et cetera, one of the biggest problems we have, and there lies the solution, is in order to predict a drought...

you have to know how much water is available to the plant.

And so when you look at the moisture in the soil, it gives you an idea of what the plant might look like two weeks, three weeks, four weeks in advance.

And so there's this cool satellite that was launched in July and

While it was going to be launched, some of the preparation that is done is you have to have these calibration centers or stations, ground calibration.