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Elsevier announces 10 semi-finalists for the Elsevier Grand Challenge
Date:8/19/2008

Michael Greenacre and Trevor Hastie, Spain and US, "Guided Tours in N-Dimensional Space: Dynamic Visualization of Multivariate Data"

  • Alexander Garcia and Alberto Labarga, Germany and Spain, "A tale of two cities in the land of serendipity: The semantic web and the social web heading towards a living document in life sciences."

"We're confident that we've gathered an exciting crop of projects," remarked David Shotton, Image Bioinformatics Research Group, Department of Zoology, University of Oxford, Oxford and Elsevier Challenge Judge, "Some of these very creative ideas will undoubtedly enable scientists to explore, visualize and expose the meaning contained within biological journal articles more thoroughly and effectively, providing better accessibility to the underlying data contained within research papers. This Grand Challenge will give semantic publishing a kick start, to the benefit of everyone's research experience."

Emilie Marcus, Editor-in-Chief, Cell, Cambridge MA, noted, "As one of the judges, I was thrilled and inspired to see such a diverse and creative range of proposals for how to make the daily work of scientists easier and more productive. We await the semi-finalists' presentations in December with bated breath!"

"The semi-finalists will be given access to more than half a million life science articles, including their images and supplementary files in order to build their tool," said Noelle Gracy, Genetics and Cell Biology Publisher and Grand Challenge co-organizer. "Access to such a large and diverse body of work will give them the opportunity to scale up their ideas and really test them to see if they can make something that will change the way life scientists read, write, visualize--even think about--data."

Elsevier Grand Challenge Finalists will be announced at the end of the year will be invited to present vision papers to the judging panel and the public in Februar
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Contact: Noelle Gracy
n.gracy@elsevier.com
31-204-853-029
Elsevier
Source:Eurekalert

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