“If goodwill and curiosity aren’t motivating researchers to work with open-source data on their own, there is still something that probably will: human limitation. ‘We have tiny little brains. We can’t understand the big stuff anymore,’ said Paul Cohen, a DARPA program manager in the Information and Innovation Office. ‘Machines will read the literature, machines will build complicated models, because frankly we can’t.’ When all you have to do is let your algorithms loose on a trove of publicly available data, there won’t be any reason not to pull in everything that’s out there. ” Read more
Researchers Sharing Data Was Supposed to Change Science Forever. Did It? — Lily Hay Newman | Slate
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