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<section>
	
	<h3>Biometric Trade Routes (beta)</h3>
<!-- 
	<div class="map-sidebar right-sidebar">
	  <h3>Legend</h3>
	  <ul>
	    <li><span style="color: #f2f293">&#9632;</span> Industry</li>
	    <li><span style="color: #f30000">&#9632;</span> Academic</li>
	    <li><span style="color: #3264f6">&#9632;</span> Government</li>
	  </ul>
	</div>
	 -->
	<p>
		To understand how this dataset has been used around the world...
		affected global research on computer vision, surveillance, defense, and consumer technology, the  and where this dataset has been used the locations of each organization that used or referenced the datast 
	</p>
 
 </section>

<section class="applet_container">
 <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
</section>

<div class="caption">
	<div class="map-legend-item edu">Academic</div>
	<div class="map-legend-item com">Industry</div>
	<div class="map-legend-item gov">Government</div> 
	Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.
</div>

<section>
	<p class='subp'>
		The data is generated by collecting all citations for all  original research papers associated with the dataset. Then the PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, actual use of the dataset can not yet be confirmed. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced.
	</p>
</section>