Climate change is a real threat to the Colombian coffee supply chain. There are more than 300,000 coffee farmers in Colombia whose livelihoods are being threatened by an increasingly chaotic climate, and the coffee sector in Colombia provides jobs for over 2 million people. We conducted research with coffee farmers in Colombia to understand how they conceptualize climate change and how they communicate their experiences with it from their perspective and in their own words.
Edited volumes, or anthologies, are very popular in research and academia. Several experts each contribute a chapter on their topic to form one book on a particular subject. An editor, or editors, oversees and manages the process. From January 2016 to May 2018, I went through the process of co-editing (with my colleague Ken Foster) How to Feed the World, which united 17 researchers’ contributions in one book. This was the first book I edited, and I learnt a lot from this process
We all want to be smart about our news. The catch is that no one is teaching you how to do that. Avoiding fake news (news that IS NOT true and exists solely to trick you into believing something that is wrong), clickbait (media that is outrageous just so you'll click on it and they'll get add revenues) and understanding biased sources is incredibly important. I made this video to show you how to become media savvy and check your news sources when scrolling through social media or looking something up online.
The Conversation: Colombia's coffee industry is at risk due to unpredictable seasons, floods, landslides, droughts and pests. Farmers say they want to learn to adapt to these environmental changes but don't know how.
On the plane down to Colombia yesterday, I reviewed notes from my first research trip several months ago. I was surprised to find that every day I diligently wrote a reflection. Here is a redacted version of those notes, spanning eight days of research.
This piece is the final of four I will publish this spring in which I describe particular techniques used to make sense of or mine large data sets. This post covers machine learning.
This piece is the first of four I will publish this spring in which I describe particular techniques used to make sense of or mine large data sets. This post covers network analysis.
Where we historically saw mostly the same news stories, we do no longer. And where historically journalists set the agenda on what we saw, they no longer exclusively do. Does this matter? Is this good? Is it bad?
Food security is not the most exciting nor alluring of issues, but it is one of the most important. And technology will play a crucial role in how we feed the world. The decisions we make about technology today will carry major ramifications down the line.
Perhaps it behooves us to know more about the source of so much of our knowledge. As informal as we may consider our Wikipedia searches, it doesn't change the fact that most of us lean on it regularly.