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	<title>Icosystem</title>
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	<link>http://www.icosystem.com</link>
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		<title>Wellness Plan Design Tool</title>
		<link>http://www.icosystem.com/1273/</link>
		<comments>http://www.icosystem.com/1273/#comments</comments>
		<pubDate>Thu, 05 Aug 2010 21:48:35 +0000</pubDate>
		<dc:creator>karen</dc:creator>
				<category><![CDATA[Clients]]></category>

		<guid isPermaLink="false">http://www.icosystem.com/?p=1273</guid>
		<description><![CDATA["The Engagement Optimization Tool that Icosystem developed for us provides predictive analytics used within all the proposals we prepare for our clients."


<p align="right">-- Stuart Slutzky, Senior Vice President of Product Development, The Vitality Group</p>]]></description>
			<content:encoded><![CDATA[<p>&#8220;The Engagement Optimization Tool that Icosystem developed for us provides predictive analytics used within all the proposals we prepare for our clients.&#8221;</p>
<p align="right">&#8211; Stuart Slutzky, Senior Vice President of Product Development, The Vitality Group</p>
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		<title>Sample Blog Post</title>
		<link>http://www.icosystem.com/sample-blog-post/</link>
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		<pubDate>Wed, 04 Aug 2010 21:13:00 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[News]]></category>

		<guid isPermaLink="false">http://www.icosystem.com/?p=1267</guid>
		<description><![CDATA[This is a sample Blog post, in category Blog]]></description>
			<content:encoded><![CDATA[<p>This is a sample Blog post, in category Blog</p>
]]></content:encoded>
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		<title>Predict Consumer Adoption for Product Launch</title>
		<link>http://www.icosystem.com/consumer-adoption/</link>
		<comments>http://www.icosystem.com/consumer-adoption/#comments</comments>
		<pubDate>Wed, 26 May 2010 06:04:24 +0000</pubDate>
		<dc:creator>karen</dc:creator>
				<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[product-design]]></category>

		<guid isPermaLink="false">http://icosystem.com/site/?p=916</guid>
		<description><![CDATA[Icosystem's simulation tools helped planning for new product launch for both national and local plans.  Humana improved its position from #6 to #2 in the Medicare space.  ]]></description>
			<content:encoded><![CDATA[<p><br />
<strong>Challenge</strong><br />
Launching new insurance plans for the 2006 Medicare Bill, Humana sought a combination of marketing strategy and product design that would provide competitive advantage and differentiation.  Current tools are unable to analyze new product launches or competitive environments with hundreds of product offerings.</p>
<p><strong>Approach</strong><br />
Icosystem developed an agent-based model (ABM) as a way of simulating, predicting and optimizing consumer behavior. We applied this technique specifically to understand how WOM impacts marketing and improve return on marketing investment. This model helped Humana understand how marketing initiatives are influenced by a rich network of interactions that include competitive messaging, government information, as well as direct exchange of information among consumers and between consumers and other members of the healthcare “ecosystem,” such as physicians, nurses, pharmacists, service professionals and sales reps.</p>
<p><strong>Outcome</strong><br />
Icosystem&#8217;s simulation tools helped planning for new product launch for both national and local plans.  Humana improved its position from #6 to #2 in the Medicare space.  The tool was extended to help Humana compare plan designs in order to maximize market penetration.</p>
]]></content:encoded>
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		<title>Predict Malware Diffusion in Networks</title>
		<link>http://www.icosystem.com/network-diffusion-malware/</link>
		<comments>http://www.icosystem.com/network-diffusion-malware/#comments</comments>
		<pubDate>Wed, 26 May 2010 04:37:15 +0000</pubDate>
		<dc:creator>karen</dc:creator>
				<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[complex-networks]]></category>
		<category><![CDATA[network-diffusion]]></category>

		<guid isPermaLink="false">http://icosystem.com/site/network-diffusion-orange-malware/</guid>
		<description><![CDATA[Designed effective interventions to slow virus propagation drastically.]]></description>
			<content:encoded><![CDATA[<p>
<a href='http://www.icosystem.com/site/wp-content/uploads/2010/05/Malware-Diffusion.jpg' rel='shadowbox[sbalbum-931];player=img;' title='Malware Diffusion'><img width="165" height="88" src="http://www.icosystem.com/site/wp-content/uploads/2010/05/Malware-Diffusion-165x88.jpg" class="attachment-thumbnail" alt="Malware Diffusion" title="Malware Diffusion" /></a>
<br />
<strong>Challenge</strong><br />
Mobile viruses are emerging as a new class of threats. Is it possible to predict how fast a virus is going to spread, and can one design reliable, cost-effective countermeasures?</p>
<p><strong>Approach</strong><br />
Icosystem built an agent-based model of subscriber behavior and interactions and of virus behavior and propagation.</p>
<p><strong>Outcome</strong><br />
Accurate quantitative prediction based on limited data and virus definition.<br />
Designed effective interventions to slow virus propagation drastically.</p>
]]></content:encoded>
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		<title>Identify Leverage Points in a Social Network</title>
		<link>http://www.icosystem.com/social-network-intelligence/</link>
		<comments>http://www.icosystem.com/social-network-intelligence/#comments</comments>
		<pubDate>Wed, 26 May 2010 04:12:10 +0000</pubDate>
		<dc:creator>karen</dc:creator>
				<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[social networks]]></category>

		<guid isPermaLink="false">http://icosystem.com/site/social-network-intelligence-paint/</guid>
		<description><![CDATA[Identified points of leverage in the network and strategies for gaining information or influencing network members.]]></description>
			<content:encoded><![CDATA[<p>
<a href='http://www.icosystem.com/site/wp-content/uploads/2010/05/SocialNetworkAnalysis.jpg' rel='shadowbox[sbalbum-925];player=img;' title='SocialNetworkAnalysis'><img width="165" height="87" src="http://www.icosystem.com/site/wp-content/uploads/2010/05/SocialNetworkAnalysis-165x87.jpg" class="attachment-thumbnail" alt="SocialNetworkAnalysis" title="SocialNetworkAnalysis" /></a>
<a href='http://www.icosystem.com/site/wp-content/uploads/2010/05/SocialNetworkAnalysis2.jpg' rel='shadowbox[sbalbum-925];player=img;' title='SocialNetworkAnalysis2'><img width="165" height="87" src="http://www.icosystem.com/site/wp-content/uploads/2010/05/SocialNetworkAnalysis2-165x87.jpg" class="attachment-thumbnail" alt="SocialNetworkAnalysis2" title="SocialNetworkAnalysis2" /></a>
<br />
<strong>Challenge</strong><br />
Intelligence analysts want to explore the structure of social networks to predict the performance of terrorist groups.</p>
<p><strong>Approach</strong><br />
Icosystem built a visual, interactive exploratory data mining tool for social networks tied to an agent-based simulation of group performance. Network theory is used to compute the structural properties of the social graph and the social status of individual nodes.</p>
<p><strong>Outcome</strong><br />
Modeled the dynamic effects among leadership, military, intelligence, industrial/science sectors, terrorist groups.</p>
<p>Identified points of leverage in the network and strategies for gaining information or influencing interest in material, knowledge, and use.</p>
]]></content:encoded>
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		<title>Reduce Time and Cost in New Product Development Process</title>
		<link>http://www.icosystem.com/new-product-development/</link>
		<comments>http://www.icosystem.com/new-product-development/#comments</comments>
		<pubDate>Wed, 26 May 2010 04:11:21 +0000</pubDate>
		<dc:creator>karen</dc:creator>
				<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[portfolio-management]]></category>

		<guid isPermaLink="false">http://icosystem.com/site/complex-system-testing-chilled-water/</guid>
		<description><![CDATA[Reduced new product development time by 3x and cost by 10x. ]]></description>
			<content:encoded><![CDATA[<p>
<a href='http://www.icosystem.com/site/wp-content/uploads/2010/05/PortfolioMgmt.jpg' rel='shadowbox[sbalbum-924];player=img;' title='PortfolioMgmt'><img width="165" height="109" src="http://www.icosystem.com/site/wp-content/uploads/2010/05/PortfolioMgmt-165x109.jpg" class="attachment-thumbnail" alt="PortfolioMgmt" title="PortfolioMgmt" /></a>
<br />
<strong>Challenge</strong><br />
Redesign the drug development process to reduce complexity, costs and time while improving success.</p>
<p><strong>Approach</strong><br />
Detailed simulation of decision-making and processes and visualization to identify sources of inefficiencies and design/test a more flexible networked, portfolio-centric clinical development organization.</p>
<p><strong>Outcome</strong><br />
Reduced the new product development process from a 40-month, $25M process to a process that takes 1-year and $2.7M.</p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>Identify Vulnerability Points of a Complex Control System</title>
		<link>http://www.icosystem.com/complex-control-system-testing/</link>
		<comments>http://www.icosystem.com/complex-control-system-testing/#comments</comments>
		<pubDate>Wed, 26 May 2010 04:10:23 +0000</pubDate>
		<dc:creator>karen</dc:creator>
				<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[complex-system-testing]]></category>

		<guid isPermaLink="false">http://icosystem.com/site/portfolio-mgmt-lilly/</guid>
		<description><![CDATA[Avoid catastrophic design flaws.]]></description>
			<content:encoded><![CDATA[<p>
<a href='http://www.icosystem.com/site/wp-content/uploads/2010/05/ComplexTestingShipControl.jpg' rel='shadowbox[sbalbum-923];player=img;' title='ComplexTestingShipControl'><img width="165" height="107" src="http://www.icosystem.com/site/wp-content/uploads/2010/05/ComplexTestingShipControl-165x107.jpg" class="attachment-thumbnail" alt="ComplexTestingShipControl" title="ComplexTestingShipControl" /></a>
<br />
<strong>Challenge</strong><br />
Identify vulnerability points of a complex control system (firemain, chilled water) for a U.S. Navy ship.</p>
<p><strong>Approach</strong><br />
Icosystem built a simulation model of control system, fluid dynamics, detonation/damage. Evolutionary algorithms evolve damage scenarios.</p>
<p><strong>Outcome</strong><br />
Discovered critical unexpected failure modes, prompting redesign of parts of the control system. Avoided potentially catastrophic accidents.</p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>Identify Online Influencers of Brand Perception</title>
		<link>http://www.icosystem.com/blog-analysis/</link>
		<comments>http://www.icosystem.com/blog-analysis/#comments</comments>
		<pubDate>Wed, 26 May 2010 04:09:56 +0000</pubDate>
		<dc:creator>karen</dc:creator>
				<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[blog-analysis]]></category>

		<guid isPermaLink="false">http://icosystem.com/site/blog-analysis-mars/</guid>
		<description><![CDATA[Assess the online landscape of brand perception.]]></description>
			<content:encoded><![CDATA[<p>
<a href='http://www.icosystem.com/site/wp-content/uploads/2010/05/OnlineInfluencers.jpg' rel='shadowbox[sbalbum-922];player=img;' title='OnlineInfluencers'><img width="165" height="202" src="http://www.icosystem.com/site/wp-content/uploads/2010/05/OnlineInfluencers-165x202.jpg" class="attachment-thumbnail" alt="OnlineInfluencers" title="OnlineInfluencers" /></a>
<a href='http://www.icosystem.com/site/wp-content/uploads/2010/05/OnlineInfluencers2.jpg' rel='shadowbox[sbalbum-922];player=img;' title='OnlineInfluencers2'><img width="165" height="50" src="http://www.icosystem.com/site/wp-content/uploads/2010/05/OnlineInfluencers2-165x50.jpg" class="attachment-thumbnail" alt="OnlineInfluencers2" title="OnlineInfluencers2" /></a>
<br />
<strong>Challenge</strong><br />
Identify influential bloggers and websites in relation to the brand. Determine nature, causality, intensity and duration of influence.</p>
<p><strong>Approach</strong><br />
Crawl and index thousands of target websites. Apply text mining. Extract influence network and map causal network using machine learning techniques.</p>
<p><strong>Outcome</strong><br />
For any given topic or brand perception, a full report helps a brand manager assess the online landscape.</p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
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		<title>Understand the Influence of Strategic Communications</title>
		<link>http://www.icosystem.com/strategic-communications/</link>
		<comments>http://www.icosystem.com/strategic-communications/#comments</comments>
		<pubDate>Wed, 26 May 2010 04:09:07 +0000</pubDate>
		<dc:creator>karen</dc:creator>
				<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[strategic-communications]]></category>

		<guid isPermaLink="false">http://icosystem.com/site/strategic-communications-crimson/</guid>
		<description><![CDATA[Understand how strategic communications combine with other initiatives (e.g., infrastructure development, humanitarian aid) to influence public sentiment.]]></description>
			<content:encoded><![CDATA[<p>
<a href='http://www.icosystem.com/site/wp-content/uploads/2010/05/CRIMSON1.jpg' rel='shadowbox[sbalbum-921];player=img;' title='CRIMSON1'><img width="165" height="110" src="http://www.icosystem.com/site/wp-content/uploads/2010/05/CRIMSON1-165x110.jpg" class="attachment-thumbnail" alt="CRIMSON1" title="CRIMSON1" /></a>
<a href='http://www.icosystem.com/site/wp-content/uploads/2010/05/CRIMSON2.jpg' rel='shadowbox[sbalbum-921];player=img;' title='CRIMSON2'><img width="165" height="100" src="http://www.icosystem.com/site/wp-content/uploads/2010/05/CRIMSON2-165x100.jpg" class="attachment-thumbnail" alt="CRIMSON2" title="CRIMSON2" /></a>
<br />
<strong>Challenge</strong><br />
The success of Stability, Security, Transition, and Reconstruction (SSTR) missions requires an understanding of how strategic communications combine with other initiatives (e.g., infrastructure development, humanitarian aid) to lead to specific outcomes.</p>
<p><strong>Approach</strong><br />
Icosystem used our commercially derived agent-based modeling that simulates the effects of different communication strategies and interventions on citizens’ awareness, perceptions, and allegiances.  The model describes the behavior of individuals and their interactions without the need to define general laws about a population.  The overall behavior of a population emerges in a complex way from interactions among individuals and between individuals and their environment.  Statistical analyses assume that “tomorrow will be the same as yesterday.” In contrast, agent-based modeling uncovers causal relationships that are not linked to a specific snapshot in time.</p>
<p><strong>Outcome</strong><br />
CRIMSON can be used to test almost any kind of “scenario” by modifying parameters such as:</p>
<ul>
<li>Timing, cost, duration, channel, and target of strategic communications
<li>Timing, nature, cost and location of infrastructure projects and other types interventions
<li>Population segmentation including geographic, religious, ethnic, demographic, economic and historic characteristics
<li>Strategic planning to include behavior and tactics of various actors: political factions, religious sects, local government.
</ul>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>Predict the Effects of Word of Mouth</title>
		<link>http://www.icosystem.com/predict-the-effects-of-wordom/</link>
		<comments>http://www.icosystem.com/predict-the-effects-of-wordom/#comments</comments>
		<pubDate>Wed, 26 May 2010 02:57:00 +0000</pubDate>
		<dc:creator>karen</dc:creator>
				<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[media-mix-optimization]]></category>
		<category><![CDATA[wom]]></category>

		<guid isPermaLink="false">http://icosystem.com/site/predict-the-effects-of-word-of-mouth/</guid>
		<description><![CDATA[Our solution quantifies the ROI of non-traditional media, like word of mouth, and allows us to analyze interpersonal influence between consumers.]]></description>
			<content:encoded><![CDATA[<p>
<a href='http://www.icosystem.com/site/wp-content/uploads/2010/05/ROI_network.jpg' rel='shadowbox[sbalbum-914];player=img;' title='ROI_network'><img width="165" height="138" src="http://www.icosystem.com/site/wp-content/uploads/2010/05/ROI_network-165x138.jpg" class="attachment-thumbnail" alt="ROI_network" title="ROI_network" /></a>
<br />
<strong>Challenge</strong><br />
Leading media agencies needed to integrate social network analysis, word-of-mouth and other non-traditional media with the rest of the media planning process.  </p>
<p><strong>Approach</strong><br />
Media media planners are using Icosystem&#8217;s Concentric-based tools in more than 20 countries around the world.  Analysts experiment with strategies to energize positive word of mouth and compare the relative   effectiveness of traditional media channels and word of mouth.</p>
<p><strong>Outcome</strong><br />
Our solution quantifies the ROI of non-traditional media, like word of mouth, and allows us to analyze interpersonal influence between consumers.</p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
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