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Sources of data exist all around us, especially when it comes to environmental research. With more sensors and devices than ever capable of capturing robust amounts of data, new technologies are needed to analyze this information and make insightful observations.
Microsoft Research (MSR) has been working on methods to compile, analyze, and apply big data for a number of years. Today we’re showcasing FetchClimate, another noteworthy example of how a combination of big data analysis and open science can help scientists and non-scientists alike better understand the world around them.
We recently chatted with Drew Purves, head of the Computational Ecology and Environmental Science Group at Microsoft Research Cambridge to talk about the FetchClimate tool for environmental data that he and his team have brought to life. Read on to get Purves' perspectives on the importance of openness in his team’s work and how with FetchClimate it’s very fast and easy to “get useful environmental information in a very open way.”
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