Nicolas is a researcher with the Innovation Unit of Employment and Social Development Canada (ESDC). He completed a postdoctoral fellowship in bibliometrics on the transformations of scholarly communication and a Ph.D. in physics of materials at the Université de Montréal.
There's so much collected data in the Government, but is its potential truly used? Of course not! It's sensitive, isolated, messy, and it's hard to figure out what to do with it to be truly effective. Thankfully, there are innovation teams whose job it is to come up with new multidisciplinary ways to help Canadians. In this presentation, we will see a few quantitative projects of the Labour program that use data beyond simple sums and linear regression. We'll tackle a few problems of information retrieval, machine learning, textual data analysis, resource allocation and predictive analytics.
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