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<h2>Workshop Goals</h2>
		 
<p>
		 Global biodiversity is profoundly affected by both natural and man-made changes.  
		 Monitoring the resulting impact  on the environment requires gathering and analysing large collection of data.  
 The confluence of three technological trends promises to have a profound influence on this process: 
 <ol>
 <li> Modern sensor and computer technology is furnishing researchers with 
 increasingly sophisticated equipment to set up radio-linked 
<b>sensor networks,</b> tailor-made for the unsupervised monitoring of 
large and distributed biotopes.  </li>

<li>The ubiquity of internet access provides experts with efficient 
means to tap into the combined <b>contributions and expertise of large crowds of 
web-connected people, </b> thus creating an enormous pool of resources ready 
to be harnessed. </li>

<li> Last but not least, emerging <b>semantic web technologies </b> 
are forging standards and tools that facilitate aggregation and analysis of, and access to, 
heterogeneous web-based databases. 
</li>
</ol>

As a result, it has become feasible to link up sensors, databases, human expertise, and even machine intelligence in large scale monitoring projects.  This effectively signals the emergence of a new trend in biodiversity monitoring: the 
 use of <b> pervasive sensing and collective intelligence in distributed networks </b> allowing resources to be shared and reconfigured in a dynamic fashion.
</p>

<p>
This <b>three day workshop </b> will explore the opportunities and challenges 
that result from these new developments.  In addition to invited talks on 
pioneering applications, there will be peer-reviewed oral and poster presentations.   
Companies specializing in sensor technology will be invited to demonstrate their products.  
A selection of the presented papers will be published in a special issue (Journal to be announced). 
</p>

<h2>Organizers</h2>	
<p>
Eric Pauwels (CWI, Amsterdam, NL), Ruben Huele (CML - Leiden University, NL), Wouter Los (UVA, Amsterdam, NL)
</p>	

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