November 08, 2012 • big data, government, OpenChorus, predictive analytics, upstream, visualization • By Paul M. Davis
The big winner – or at least the biggest story – of the 2012 Election may be Big Data and the practice of data science. From the Obama campaign’s data-driven electioneering directed by Chief Scientist Rayid Ghani, to the pundit-confounding and uncannily accurate projections of Nate Silver and other statisticians, this may go down as “The Nerdiest Election Ever,” as Wired‘s Spencer Ackerman declared.
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September 11, 2012 • data science, government, predictive analytics, upstream • By Paul M. Davis
Following the conclusion of the Republican and Democratic national conventions, we’re mercifully facing down the final days of this election season. With the race heating up, policy wonks and voters are turning their attention to the other breakout star from 2008′s Presidential race: statistician and blogger Nate Silver, whose predictive models during that race proved more accurate than the projections of expert pollsters and the pundits.
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August 02, 2012 • government, predictive analytics, upstream, visualization • By Paul M. Davis
In 2008, statistician Nate Silver upended reporting on elections by calling primary results on his blog FiveThirtyEight with uncanny accuracy. His predictive model considers a wide number of factors outside of polling data, such as economic trends and state-by-state demographic factors.
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June 02, 2012 • big data, data science, features, reflections • By Paul M. Davis
At the Data Science Summit 2012, practitioners and thought leaders shared broad visions and deep discipline
Big Data may be getting its day in the sun, but data science is the key to unlocking Big Data’s abundance of predictive value and insight.
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May 14, 2012 • big data, data science, features, upstream • By Paul M. Davis
2012 is proving to be the year of Big Data, demanding the attention of executives, thought leaders, academics, and tech journalists alike. From the Obama Administration’s $200 Million Big Data Initiative to the enterprise, retail to academia, businesses, organizations and governments are increasingly realizing the opportunities posed by the inundation of massive data sets.
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