Big Data

How Algorithms Could Save the Planet

As the natural world unravels, conservationists are looking for new solutions to save what’s left.

Big conservation initiatives take big bucks, but there’s only so much money to go around. So, how do we allocate? And once priorities are determined, how do we identify the most effective approaches?

One possibility: Big Data. It’s now poised to do for conservation what it has done for self-driving cars and online retail, says Carl Boettiger, an assistant professor in the Department of Environmental Science, Policy, and Management at UC Berkeley.

Are We Living in a Post-Poll World?

They wrong. They’re rigged. They’re partisan. They’re worthless.

Polls took as vicious a drubbing as civility and real news in the latest election. And they’re still drawing withering abuse from Donald Trump and his supporters, who maintain that surveys showing that he is highly unpopular are lies, perfidious lies. Trump, in fact, continues to promote a narrative that we are living in a post-poll world, that polls are not only inaccurate but passé; nobody cares about them.

Wrangling Big Data

Imagine a website that could offer you personalized medical advice. You could log on and input your symptoms and medical history. The program would then compare your situation to that of other people with a similar condition, perhaps analyze your genotype, consult with a few hundred doctors as necessary, and then provide you with a diagnosis and treatment recommendation.

From the Winter 2013 Information Issue issue of California.

Is Warming to Blame for Tornado Damage?

At least 24 people died in the tornado that struck Moore, Oklahoma yesterday, and damage could hit the $2 billion mark.  It may be inaccurate – as well as hackneyed – to call the storm a “monster,” but it was certainly very big.  On the Enhanced Fujita scale of EF-1 to EF-5, the twister hit EF-4, with winds in excess of 190 mph.

Subscribe to Big Data