The devastating impacts of flooding are widely understood, but for Mitacs Globalink intern Ashwini Petchiappan they hit close to home. Ashwini and her family were living in Mumbai when the city experienced a catastrophic flood in 2005.
There is no doubt that clean technologies will one day fuel every car on the road. This vision has prompted international car manufacturers to invest heavily into cleaner vehicle alternatives such as electric power cars.
My initial estimate of this “water footprint” showed that 1,900 litres of water were required every year to grow one kilogram of soybean in Southern Amazonia. However, this estimate was based on a crop modeling exercise with assumptions that don’t reflect the realities of producing in the tropics.
Yet people from the village of Valnur in Kodagu (Coorg district) took the sight in stride, affectionately dubbing us the “fish women” and inviting us into their homes for lunch and their temples for festivals.
“When we do a study like this, it lets us answer the question of how our rivers and forests are doing, it lets us know what our company’s water footprint looks like, and it gives us opportunities to be a good corporate citizen."
The collaboration helped Renée to find a renewed sense of purpose: “Partnering with Decode through Mitacs Accelerate re-energized my research. Putting myself out there to try something different has led me to an interesting tangent that’s now leading me into the next step of my career.”
When Rowan Cockett was completing a Bachelor of Science in applied and environmental geology at the University of Calgary in 2010, he noticed that his fellow students were struggling to deal with the immense amounts of geological data they were asked to interpret.
Thanks to a Mitacs Accelerate partnership with industry, researchers have discovered how a type of dietary fat can provide relief for this disease, and create business opportunities for the treatment of other conditions.
Ken developed an algorithm that can accurately predict the risk of a chat message in a computationally efficient manner. His algorithm was able to identify a number of spelling variants of blacklisted words and evasive patterns that had previously gone undetected by human moderators.