the power of numbers

Posted on June 28, 2010
Filed Under medicine | 1 Comment

dna data

From Wired Magazine

Brin, of course, is no ordinary 36-year-old. As half of the duo that founded Google, he’s worth about $15 billion. That bounty provides additional leverage: Since learning that he carries a LRRK2 mutation, Brin has contributed some $50 million to Parkinson’s research, enough, he figures, to “really move the needle.” In light of the uptick in research into drug treatments and possible cures, Brin adjusts his overall risk again, down to “somewhere under 10 percent.” That’s still 10 times the average, but it goes a long way to counterbalancing his genetic predisposition.

It sounds so pragmatic, so obvious, that you can almost miss a striking fact: Many philanthropists have funded research into diseases they themselves have been diagnosed with. But Brin is likely the first who, based on a genetic test, began funding scientific research in the hope of escaping a disease in the first place.

His approach is notable for another reason. This isn’t just another variation on venture philanthropy—the voguish application of business school practices to scientific research. Brin is after a different kind of science altogether. Most Parkinson’s research, like much of medical research, relies on the classic scientific method: hypothesis, analysis, peer review, publication. Brin proposes a different approach, one driven by computational muscle and staggeringly large data sets. It’s a method that draws on his algorithmic sensibility—and Google’s storied faith in computing power—with the aim of accelerating the pace and increasing the potential of scientific research. “Generally the pace of medical research is glacial compared to what I’m used to in the Internet,” Brin says. “We could be looking lots of places and collecting lots of information. And if we see a pattern, that could lead somewhere.”

In other words, Brin is proposing to bypass centuries of scientific epistemology in favor of a more Googley kind of science. He wants to collect data first, then hypothesize, and then find the patterns that lead to answers. And he has the money and the algorithms to do it.

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One Response to “the power of numbers”

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