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The flow of data across the social web tells us what people, around the world, are paying attention to at any given moment. Understanding this flow is both a mathematical and a human problem, as we develop and adapt techniques to find stories in the data.
Come hear about the expected and the surprises in the bitly data, as well as generalized techniques that apply to any ‘realtime’ data system.
Hilary Mason is founder and CEO of Fast Forward Labs, a machine intelligence research company, and data scientist in residence at Accel Partners. Previously Hilary was chief scientist at Bitly. She cohosts DataGotham, a conference for New York’s home-grown data community, and cofounded HackNY, a nonprofit that helps engineering students find opportunities in New York’s creative technical economy. Hilary served on Mayor Bloomberg’s Technology Advisory Board and is a member of Brooklyn hacker collective NYC Resistor.
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