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Bits 'n Pieces on Big Data R&D
Information and insight into Big Data R&D
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Twitter: Big Data Opportunities | Science

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Why Big Data Isn’t Necessarily Better Data | Observations, Scientific American Blog Network

Why Big Data Isn’t Necessarily Better Data | Observations, Scientific American Blog Network | Bits 'n Pieces on Big Data R&D | Scoop.it
Tech companies—Facebook, Google and IBM, to name a few—are quick to tout the world-changing powers of “big data” gleaned from mobile devices, Web searches, citizen science ...
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How Big Data Can Transform Society for the Better

How Big Data Can Transform Society for the Better | Bits 'n Pieces on Big Data R&D | Scoop.it
The digital traces we leave behind each day reveal more about us than we know. This could become a privacy nightmare—or it could be the foundation of a healthier, more prosperous world
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By M.I.T. computer scientist Alex Pentland. Video based on the article: http://www.scientificamerican.com/article.cfm?id=pentland-how-exactly-is-big-data-going-to-change-the-world-video


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Eight (No, Nine!) Problems With Big Data

Eight (No, Nine!) Problems With Big Data | Bits 'n Pieces on Big Data R&D | Scoop.it

It’s a valuable tool for analysis, but don’t believe all the hype.

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Opinions and insights on Big Data by Gary Marcus and Ernest Davis. Gary Marcus is a professor of psychology at New York University and an editor of the forthcoming book “The Future of the Brain.” Ernest Davis is a professor of computer science at New York University.

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What Big Data Means For Social Science

We've known big data has had big impacts in business, and in lots of prediction tasks. I want to understand, what does big data mean for what we do for science? Specifically, I want to think about the following context:  You have a scientist who has a hypothesis that they would like to test, and I want to think about how the testing of that hypothesis might change as data gets bigger and bigger. So that's going to be the rule of the game. Scientists start with a hypothesis and they want to test it; what's going to happen?

 


Via Alessandro Cerboni, NESS, Complexity Digest
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The Big Data Brain Drain: Why Science is in Trouble

The Big Data Brain Drain: Why Science is in Trouble | Bits 'n Pieces on Big Data R&D | Scoop.it

Regardless of what you might think of the ubiquity of the "Big Data" meme, it's clear that the growing size of datasets is changing the way we approach the world around us. This is true in fields from industry to government to media to academia and virtually everywhere in between. Our increasing abilities to gather, process, visualize, and learn from large datasets is helping to push the boundaries of our knowledge.

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