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	<pubDate>Fri, 16 Jul 2010 11:00:56 +0000</pubDate>
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		<title>Epiwork@COSI-ICT Workshop: Towards a Science of Socially Intelligent ICT</title>
		<link>http://www.epiwork.eu/2010/07/16/epiworkassyst-workshop-towards-a-science-of-socially-intelligent-ict/</link>
		<comments>http://www.epiwork.eu/2010/07/16/epiworkassyst-workshop-towards-a-science-of-socially-intelligent-ict/#comments</comments>
		<pubDate>Fri, 16 Jul 2010 11:00:05 +0000</pubDate>
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		<guid isPermaLink="false">http://www.epiwork.eu/?p=1192</guid>
		<description><![CDATA[In 2009 the Future &#38; Emerging Technology unit (FET) of  the European Commission launched its COSI-ICT proactive work programme –  Science of Complex Systems for Socially Intelligence ICT.
This Workshop is the first in a series intended to formulate a systematic theory of ‘social intelligence’ and  engineering principles for applications.
It focuses on the [...]]]></description>
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		<title>Epidemic Market Place featured in Computational Biology issue of ERCIM news magazine</title>
		<link>http://www.epiwork.eu/2010/07/14/epidemic-market-place-featured-in-computational-biology-issue-of-ercim-news-magazine/</link>
		<comments>http://www.epiwork.eu/2010/07/14/epidemic-market-place-featured-in-computational-biology-issue-of-ercim-news-magazine/#comments</comments>
		<pubDate>Wed, 14 Jul 2010 14:29:28 +0000</pubDate>
		<dc:creator>admin</dc:creator>
		
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		<guid isPermaLink="false">http://www.epiwork.eu/?p=1180</guid>
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The XLDB team at LASIGE (hosted by the Department of Informatics, Faculty of Sciences at University of Lisbon), in charge for the development and deployment of the Epiwork Epidemic Marketplace, has recently published an article on the Computational Biology special issue of the ERCIM (European Research Consortium for Informatics and Mathematics) news magazine.
&#8220;Computational Biology is [...]]]></description>
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		<title>New publication comparing large-scale computational approaches to epidemic spreading</title>
		<link>http://www.epiwork.eu/2010/07/14/new-publication-comparing-large-scale-computational-approaches-to-epidemic-spreading/</link>
		<comments>http://www.epiwork.eu/2010/07/14/new-publication-comparing-large-scale-computational-approaches-to-epidemic-spreading/#comments</comments>
		<pubDate>Wed, 14 Jul 2010 09:31:25 +0000</pubDate>
		<dc:creator>admin</dc:creator>
		
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		<guid isPermaLink="false">http://www.epiwork.eu/?p=1168</guid>
		<description><![CDATA[Two teams (ISI Foundation and Bruno Kessler Foundation) of Epiwork Work Package 4 (Computational Modeling Platform) have produced a new publication comparing the performance of   large-scale computational approaches to  the modeling of infectious  disease spreading The detailed results can be found in the manuscript:
 Comparing large-scale computational approaches to epidemic modeling:  agent-based [...]]]></description>
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