BigDataFr recommends: Five principles for applying data science for social good

Editor’s note: Jake Porway expanded on the ideas outlined in this piece in his Strata + Hadooop World NYC 2015 keynote address, « What does it take to apply data science for social good? »

“We’re making the world a better place.” That line echoes from the parody of the Disrupt conference in the opening episode of HBO’s « Silicon Valley. » It’s a satirical take on our sector’s occasional tendency to equate narrow tech solutions like “software-designed data centers for cloud computing” with historical improvements to the human condition.

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By Jake Porway
Source: oreilly.com

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About Jake Porway

Jake Porway is a machine learning and technology enthusiast who loves nothing more than seeing good values in data. He is the founder and executive director of DataKind, an organization that brings together leading data scientists with high impact social organizations to better collect, analyze, and visualize data in the service of humanity.
Jake was most recently the data scientist in the New York Times R&D lab and remains an active member of the data science community, bringing his technical experience from his past work with groups like NASA, DARPA, Google, and Bell Labs to bear on the social sector.