Combining climate and household economic data

Big data, climate change and developing economies: predictive modeling for improved lives

9th January 2014

Dai Clegg

Dai Clegg

Senior Associate and director of open-source software projects

I did my first, and possibly last, Ignite talk at Strata London recently. If you don’t know the format it goes like this: 5 minutes, 20 slides; the slides automatically advance every 15 seconds and you have to tell your story and finish on time.

The story I was telling wasn’t about Acunu, nor even about low latency / real time analytics, which is a topic I’m often to be heard rabbiting on about. Low latency operational intelligence is what Acunu is all about. We build a platform for people who need to know what’s going on in their business right now. Pretty much every industry can benefit from tracking some KPIs minute-by-minute. And you can’t do that on day-old data in a data warehouse or Hadoop cluster, no matter how fast your BI tool can run queries.

But this time I was talking about a project dreamed up by some friends at Evidence for Development (EfD), a charity I work with. Their idea is to build an economic model of the whole of rural southern Africa, including data about how people get access to food, market prices and meteorological data, then to build it up over a number of years until you have a database capable of predictive modeling of the effects of climate change in the region. The people at EfD have a ton of experience in building models of rural economies, which are widely, but not consistently, used in the region to help direct better aid projects and provide governments with early warning of disruptions (e.g. impact of crop failure).

Dai Clegg with EfD in Zomba at Chancellor College, University of Malawi

Dai with Patrick Kambewa, Celia Petty and Charles Fodya at Chancellor College, University of Malawi.

 

There’s lots of support for the idea, but it’s going to be an interesting project to try to pull together all the strands. We’ve already made a start with getting the methodology onto the post-grad curriculum in economics departments in universities in the region, and are starting to assemble open source developers to implement and support the software.

 

It was a challenge taking on the Ignite, lightning-talk format, but it was for a good cause and pretty enjoyable overall – apart for stumbling a few times as I raced to get through the story and keep in sync with the slides. I’d thoroughly recommend it to anyone who fancies themselves as a competent public speaker. I learned a bit that I hope will make me better in all formats and I am in awe of my fellow presenters.

 

 

This was first published at Josetteorama (O’Reilly).

Categories: Climate change, Data, Open source, Technology, The organisation

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