Françoise Provencher
Françoise is leading the Data team at Local Logic, a Montreal-based location-intelligence startup, where she builds data products and tells data stories. Before joining Local Logic, she did a PhD in experimental physics, a postdoctoral fellowship in machine learning, organized PyLadies Montreal and had a prolific 7 years working at Shopify. Although she loves the switch to data science, she secretly misses shooting lasers at stuff.
Sessions
This story is about urbanism, geospatial analysis, and when people look for numbers to get facts, when in fact, numbers are opinions. You will learn how some cities in Canada are designing indicators to measure how livable they are, the tradeoffs for good metric design and how your methodology is encoding your opinions into the numbers. This talk will benefit anyone using data to support decisions, and no prior knowledge is required.