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		<title>Seven Teams, One Epidemic Model, Diverging Results: Inside Simulation&#8217;s Replicability Problem</title>
		<link>https://bioengineer.org/seven-teams-one-epidemic-model-diverging-results-inside-simulations-replicability-problem/</link>
		
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		<pubDate>Fri, 09 Oct 2026 18:25:07 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[agent-based modeling]]></category>
		<category><![CDATA[computational science]]></category>
		<category><![CDATA[Cormas]]></category>
		<category><![CDATA[epidemiological simulation]]></category>
		<category><![CDATA[GAMA]]></category>
		<category><![CDATA[model specification]]></category>
		<category><![CDATA[NetLogo]]></category>
		<category><![CDATA[ODD protocol]]></category>
		<category><![CDATA[replicability]]></category>
		<category><![CDATA[reproducibility crisis]]></category>
		<category><![CDATA[SEIRS model]]></category>
		<category><![CDATA[simulation platforms]]></category>
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					<description><![CDATA[A landmark experiment in which seven independent teams implemented the same SEIRS epidemic model across seven platforms found that implementation choices produce divergence nearly eight times larger than ordinary stochastic noise, much of it traceable to two under-specified execution details.]]></description>
		
		
		
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