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	<title>Making Connections</title>
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	<link>https://blog.iseesystems.com</link>
	<description>isee systems blog</description>
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		<title>COVID-19: Modeling Distributions of Incubation and Recovery Times</title>
		<link>https://blog.iseesystems.com/stella-ithink/covid-19-modeling-distributions-of-incubation-and-recovery-times/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=covid-19-modeling-distributions-of-incubation-and-recovery-times</link>
					<comments>https://blog.iseesystems.com/stella-ithink/covid-19-modeling-distributions-of-incubation-and-recovery-times/#respond</comments>
		
		<dc:creator><![CDATA[Karim Chichakly]]></dc:creator>
		<pubDate>Wed, 01 Apr 2020 15:30:26 +0000</pubDate>
				<category><![CDATA[Modeling Tips]]></category>
		<category><![CDATA[STELLA & iThink]]></category>
		<guid isPermaLink="false">https://blog.iseesystems.com/?p=4401</guid>

					<description><![CDATA[<p>There is a flurry of models becoming available for the coronavirus pandemic we are in the midst of.  We at isee systems have issued our own, available here.  We’ve noticed a number of people use the canonical Susceptible-Exposed-Infected-Recovered (SEIR) model (in its simplest form): We’ve used this same model, albeit with disaggregation of severity of &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/stella-ithink/covid-19-modeling-distributions-of-incubation-and-recovery-times/">COVID-19: Modeling Distributions of Incubation and Recovery Times</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
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		<item>
		<title>Multiobjective Optimization</title>
		<link>https://blog.iseesystems.com/modeling-tips/multiobjective-optimization/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=multiobjective-optimization</link>
					<comments>https://blog.iseesystems.com/modeling-tips/multiobjective-optimization/#comments</comments>
		
		<dc:creator><![CDATA[Karim Chichakly]]></dc:creator>
		<pubDate>Tue, 09 Jan 2018 17:02:06 +0000</pubDate>
				<category><![CDATA[Modeling Tips]]></category>
		<category><![CDATA[Bass diffusion]]></category>
		<category><![CDATA[calibration]]></category>
		<category><![CDATA[data]]></category>
		<category><![CDATA[market dynamics]]></category>
		<category><![CDATA[optimization]]></category>
		<category><![CDATA[Stella]]></category>
		<guid isPermaLink="false">https://blog.iseesystems.com/?p=4367</guid>

					<description><![CDATA[<p>This is the third of a three-part series on calibration and optimization. The first part can be accessed here. The second part can be accessed here. Sometimes optimizing one objective does not give the best solution, for example, when judgment is needed to determine which solution between many equally optimal solutions is truly the best, &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/modeling-tips/multiobjective-optimization/">Multiobjective Optimization</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>2</slash:comments>
		
		
			</item>
		<item>
		<title>Optimizing Model Performance</title>
		<link>https://blog.iseesystems.com/modeling-tips/optimizing-model-performance/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=optimizing-model-performance</link>
					<comments>https://blog.iseesystems.com/modeling-tips/optimizing-model-performance/#comments</comments>
		
		<dc:creator><![CDATA[Karim Chichakly]]></dc:creator>
		<pubDate>Fri, 22 Dec 2017 17:35:58 +0000</pubDate>
				<category><![CDATA[Modeling Tips]]></category>
		<category><![CDATA[calibration]]></category>
		<category><![CDATA[data]]></category>
		<category><![CDATA[optimization]]></category>
		<category><![CDATA[Stella]]></category>
		<guid isPermaLink="false">https://blog.iseesystems.com/?p=4343</guid>

					<description><![CDATA[<p>This is the second of a three-part series on calibration and optimization. The first part can be accessed here. The third part can be accessed here. Part one of this series explored calibrating a model using the Stella® Architect/Professional optimization feature (introduced in version 1.5). This post will explore using this same feature for single-objective &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/modeling-tips/optimizing-model-performance/">Optimizing Model Performance</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>2</slash:comments>
		
		
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		<item>
		<title>Calibration in Stella&#174;</title>
		<link>https://blog.iseesystems.com/modeling-tips/calibration-in-stella/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=calibration-in-stella</link>
					<comments>https://blog.iseesystems.com/modeling-tips/calibration-in-stella/#comments</comments>
		
		<dc:creator><![CDATA[Karim Chichakly]]></dc:creator>
		<pubDate>Fri, 15 Dec 2017 17:15:21 +0000</pubDate>
				<category><![CDATA[Modeling Tips]]></category>
		<category><![CDATA[calibration]]></category>
		<category><![CDATA[data]]></category>
		<category><![CDATA[h1n1]]></category>
		<category><![CDATA[optimization]]></category>
		<category><![CDATA[Stella]]></category>
		<guid isPermaLink="false">https://blog.iseesystems.com/?p=4250</guid>

					<description><![CDATA[<p>This is the first of a three-part series on calibration and optimization. The second part can be accessed here. The third part can be accessed here. Several years ago, I wrote a post that showed how to calibrate Stella and iThink® models using PEST, a third-party calibration tool (Using PEST to Calibrate Models). Starting with &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/modeling-tips/calibration-in-stella/">Calibration in Stella®</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>3</slash:comments>
		
		
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		<item>
		<title>Drifting Goals</title>
		<link>https://blog.iseesystems.com/systems-thinking/drifting-goals/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=drifting-goals</link>
					<comments>https://blog.iseesystems.com/systems-thinking/drifting-goals/#comments</comments>
		
		<dc:creator><![CDATA[Karim Chichakly]]></dc:creator>
		<pubDate>Wed, 09 Mar 2016 20:04:05 +0000</pubDate>
				<category><![CDATA[Systems Thinking]]></category>
		<category><![CDATA[archetypes]]></category>
		<category><![CDATA[Causal Loop]]></category>
		<category><![CDATA[CLD]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=4203</guid>

					<description><![CDATA[<p>The Drifting Goals Archetype applies to situations where short-term solutions lead to the deterioration of long-term goals.  Also known as Eroding Goals, this is a special case of Shifting the Burden.  This Systems Archetype was formally identified in Appendix 2 of The Fifth Discipline by Peter Senge (1990).  The Causal Loop Diagram (CLD) is shown &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/systems-thinking/drifting-goals/">Drifting Goals</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>1</slash:comments>
		
		
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		<item>
		<title>System Dynamics Conference in Cambridge, MA</title>
		<link>https://blog.iseesystems.com/news-announcements/system-dynamics-conference-in-cambridge-ma/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=system-dynamics-conference-in-cambridge-ma</link>
					<comments>https://blog.iseesystems.com/news-announcements/system-dynamics-conference-in-cambridge-ma/#comments</comments>
		
		<dc:creator><![CDATA[Angelika Schanda]]></dc:creator>
		<pubDate>Fri, 07 Aug 2015 17:23:37 +0000</pubDate>
				<category><![CDATA[News & Announcements]]></category>
		<category><![CDATA[Barry Richmond]]></category>
		<category><![CDATA[conferences]]></category>
		<category><![CDATA[scholarship]]></category>
		<category><![CDATA[System Dynamics Society]]></category>
		<category><![CDATA[workshop]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=4154</guid>

					<description><![CDATA[<p>The 33rd International System Dynamics Conference (ISDC) was an inspiring event and we met many new faces as well as many longtime friends! If you were not able to attend the ISDC, stop by our booth, or go to the workshops on Thursday, we documented some of the highlights for you. isee systems was once &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/news-announcements/system-dynamics-conference-in-cambridge-ma/">System Dynamics Conference in Cambridge, MA</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
					<wfw:commentRss>https://blog.iseesystems.com/news-announcements/system-dynamics-conference-in-cambridge-ma/feed/</wfw:commentRss>
			<slash:comments>15</slash:comments>
		
		
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		<item>
		<title>Generating Random Numbers from Custom Probability Distributions</title>
		<link>https://blog.iseesystems.com/stella-ithink/generating-random-numbers-from-custom-probability-distributions/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=generating-random-numbers-from-custom-probability-distributions</link>
					<comments>https://blog.iseesystems.com/stella-ithink/generating-random-numbers-from-custom-probability-distributions/#comments</comments>
		
		<dc:creator><![CDATA[Karim Chichakly]]></dc:creator>
		<pubDate>Thu, 29 May 2014 20:07:55 +0000</pubDate>
				<category><![CDATA[Modeling Tips]]></category>
		<category><![CDATA[STELLA & iThink]]></category>
		<category><![CDATA[builtins]]></category>
		<category><![CDATA[distributions]]></category>
		<category><![CDATA[graphical function]]></category>
		<category><![CDATA[iThink/STELLA]]></category>
		<category><![CDATA[probability]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=4140</guid>

					<description><![CDATA[<p>STELLA® and iThink® provide many useful probability distribution functions (listed here).  However, sometimes you need to draw random numbers from a different probability distribution, perhaps one you have developed yourself.  In these cases, it is possible to invert the cumulative probability distribution and use a uniformly distributed random number between zero and one (using the &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/stella-ithink/generating-random-numbers-from-custom-probability-distributions/">Generating Random Numbers from Custom Probability Distributions</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>4</slash:comments>
		
		
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		<item>
		<title>Generating Custom Reports Using XMILE</title>
		<link>https://blog.iseesystems.com/stella-ithink/reports-with-xmile/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=reports-with-xmile</link>
					<comments>https://blog.iseesystems.com/stella-ithink/reports-with-xmile/#respond</comments>
		
		<dc:creator><![CDATA[Karim Chichakly]]></dc:creator>
		<pubDate>Wed, 04 Sep 2013 22:00:17 +0000</pubDate>
				<category><![CDATA[Modeling Tips]]></category>
		<category><![CDATA[STELLA & iThink]]></category>
		<category><![CDATA[reports]]></category>
		<category><![CDATA[XMILE]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=4043</guid>

					<description><![CDATA[<p>XMILE is an open standard for describing system dynamics models in XML.  Version 10 of iThink and STELLA output their models in the XMILE format.  One of the advantages of XML is that it is a text-based format that can be easily queried and manipulated.  This post will show you how to use XMLStarlet, a &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/stella-ithink/reports-with-xmile/">Generating Custom Reports Using XMILE</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
					<wfw:commentRss>https://blog.iseesystems.com/stella-ithink/reports-with-xmile/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>XMILE &#8211; An open standard for system dynamics models</title>
		<link>https://blog.iseesystems.com/news-announcements/xmile-faq/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=xmile-faq</link>
					<comments>https://blog.iseesystems.com/news-announcements/xmile-faq/#comments</comments>
		
		<dc:creator><![CDATA[Karim Chichakly]]></dc:creator>
		<pubDate>Fri, 19 Jul 2013 20:31:43 +0000</pubDate>
				<category><![CDATA[News & Announcements]]></category>
		<category><![CDATA[XMILE]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=4032</guid>

					<description><![CDATA[<p>In June, isee systems and IBM sponsored a new technical committee in OASIS, a large standards organization. This committee is developing a new system dynamics modeling standard called XMILE. This blog post will answer some important questions about XMILE. 1. What is XMILE? XMILE is an open XML protocol for the sharing, interoperability, and reuse &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/news-announcements/xmile-faq/">XMILE – An open standard for system dynamics models</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>405</slash:comments>
		
		
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		<item>
		<title>Working with Array Equations in Version 10</title>
		<link>https://blog.iseesystems.com/modeling-tips/working-with-array-equations-in-version-10/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=working-with-array-equations-in-version-10</link>
					<comments>https://blog.iseesystems.com/modeling-tips/working-with-array-equations-in-version-10/#comments</comments>
		
		<dc:creator><![CDATA[Karim Chichakly]]></dc:creator>
		<pubDate>Mon, 17 Dec 2012 23:46:27 +0000</pubDate>
				<category><![CDATA[Modeling Tips]]></category>
		<category><![CDATA[arrays]]></category>
		<category><![CDATA[iThink/STELLA]]></category>
		<category><![CDATA[Version 10]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=4010</guid>

					<description><![CDATA[<p>STELLA/iThink version 10 introduces several new array features, including simplified and more powerful Apply-To-All equations that are designed to reduce the need to specify equations for every individual element. Dimension names are optional When an equation is written using other array names, the dimension names are not normally needed.  For example, given arrays A, B, &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/modeling-tips/working-with-array-equations-in-version-10/">Working with Array Equations in Version 10</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>3</slash:comments>
		
		
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		<item>
		<title>2011 Barry Richmond Scholarship Award</title>
		<link>https://blog.iseesystems.com/news-announcements/2011-barry-richmond-scholarship-award/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=2011-barry-richmond-scholarship-award</link>
					<comments>https://blog.iseesystems.com/news-announcements/2011-barry-richmond-scholarship-award/#comments</comments>
		
		<dc:creator><![CDATA[Joanne Egner]]></dc:creator>
		<pubDate>Wed, 10 Aug 2011 18:30:18 +0000</pubDate>
				<category><![CDATA[News & Announcements]]></category>
		<category><![CDATA[Barry Richmond]]></category>
		<category><![CDATA[conferences]]></category>
		<category><![CDATA[scholarship]]></category>
		<category><![CDATA[System Dynamics Society]]></category>
		<category><![CDATA[WPI]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=3939</guid>

					<description><![CDATA[<p>The Barry Richmond Scholarship Award was established in 2007 by isee systems to honor and continue the legacy of its founder, Barry Richmond.  Barry was devoted to helping others become better systems citizens.  Systems citizens are members of a global community that strive to understand the complexities of today&#8217;s world and have the informed capacity to make &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/news-announcements/2011-barry-richmond-scholarship-award/">2011 Barry Richmond Scholarship Award</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>3</slash:comments>
		
		
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		<item>
		<title>Connecting iThink and STELLA to a Database</title>
		<link>https://blog.iseesystems.com/stella-ithink/connecting-ithink-and-stella-to-a-database/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=connecting-ithink-and-stella-to-a-database</link>
					<comments>https://blog.iseesystems.com/stella-ithink/connecting-ithink-and-stella-to-a-database/#comments</comments>
		
		<dc:creator><![CDATA[Nat Pierson]]></dc:creator>
		<pubDate>Thu, 28 Apr 2011 14:19:20 +0000</pubDate>
				<category><![CDATA[STELLA & iThink]]></category>
		<category><![CDATA[beer game]]></category>
		<category><![CDATA[command line]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[export]]></category>
		<category><![CDATA[import]]></category>
		<category><![CDATA[SQL Server]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=3662</guid>

					<description><![CDATA[<p>A question we periodically get from our customers is: Can iThink or STELLA connect to a database? Saving and pulling information to/from databases presents a lot of advantages for storing, organizing and sharing model data. Thanks to iThink and STELLA’s ability to import and export data via commonly used spreadsheet file formats, it is possible &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/stella-ithink/connecting-ithink-and-stella-to-a-database/">Connecting iThink and STELLA to a Database</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>5</slash:comments>
		
		
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		<item>
		<title>What is the difference between STELLA and iThink?</title>
		<link>https://blog.iseesystems.com/stella-ithink/what-is-the-difference-between-stella-and-ithink/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=what-is-the-difference-between-stella-and-ithink</link>
					<comments>https://blog.iseesystems.com/stella-ithink/what-is-the-difference-between-stella-and-ithink/#comments</comments>
		
		<dc:creator><![CDATA[Joanne Egner]]></dc:creator>
		<pubDate>Wed, 09 Mar 2011 16:26:09 +0000</pubDate>
				<category><![CDATA[STELLA & iThink]]></category>
		<category><![CDATA[default settings]]></category>
		<category><![CDATA[iThink/STELLA]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=3565</guid>

					<description><![CDATA[<p>The question we get asked most frequently by just about anyone who wants to know more about our modeling software is &#8220;What is the difference between STELLA and iThink?&#8221;  From a functional perspective, there are no differences between the STELLA and iThink software — they are two different brands of the same product. The STELLA &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/stella-ithink/what-is-the-difference-between-stella-and-ithink/">What is the difference between STELLA and iThink?</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>224</slash:comments>
		
		
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		<item>
		<title>Using PEST to Calibrate Models</title>
		<link>https://blog.iseesystems.com/modeling-tips/calibrate-models-pest/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=calibrate-models-pest</link>
					<comments>https://blog.iseesystems.com/modeling-tips/calibrate-models-pest/#comments</comments>
		
		<dc:creator><![CDATA[Karim Chichakly]]></dc:creator>
		<pubDate>Fri, 14 Jan 2011 23:00:18 +0000</pubDate>
				<category><![CDATA[Modeling Tips]]></category>
		<category><![CDATA[calibration]]></category>
		<category><![CDATA[data]]></category>
		<category><![CDATA[h1n1]]></category>
		<category><![CDATA[iThink/STELLA]]></category>
		<category><![CDATA[Version 9.1.2]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=3529</guid>

					<description><![CDATA[<p>There are times when it is helpful to calibrate, or fit, your model to historical data. This capability is not built into the iThink/STELLA program, but it is possible to interface to external programs to accomplish this task. One generally available program to calibrate models is PEST, available freely from www.pesthomepage.org. In this blog post, &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/modeling-tips/calibrate-models-pest/">Using PEST to Calibrate Models</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>238</slash:comments>
		
		
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		<title>Shifting the Burden</title>
		<link>https://blog.iseesystems.com/systems-thinking/shifting-the-burden/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=shifting-the-burden</link>
					<comments>https://blog.iseesystems.com/systems-thinking/shifting-the-burden/#comments</comments>
		
		<dc:creator><![CDATA[Karim Chichakly]]></dc:creator>
		<pubDate>Wed, 22 Dec 2010 18:55:44 +0000</pubDate>
				<category><![CDATA[Systems Thinking]]></category>
		<category><![CDATA[archetypes]]></category>
		<category><![CDATA[Causal Loop]]></category>
		<category><![CDATA[CLD]]></category>
		<category><![CDATA[personal finance]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/news-announcements/shifting-the-burden/</guid>

					<description><![CDATA[<p>The Shifting the Burden Systems Archetype shows how attacking symptoms, rather than identifying and fixing fundamental problems, can lead to a further dependence on symptomatic solutions.  This Systems Archetype was formally identified in Appendix 2 of The Fifth Discipline by Peter Senge (1990).  The Causal Loop Diagram (CLD) is shown below. When a problem symptom &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/systems-thinking/shifting-the-burden/">Shifting the Burden</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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		<title>The Politics of Economic Recovery</title>
		<link>https://blog.iseesystems.com/systems-thinking/the-politics-of-economic-recovery/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=the-politics-of-economic-recovery</link>
					<comments>https://blog.iseesystems.com/systems-thinking/the-politics-of-economic-recovery/#comments</comments>
		
		<dc:creator><![CDATA[Corey Peck]]></dc:creator>
		<pubDate>Fri, 03 Dec 2010 17:34:42 +0000</pubDate>
				<category><![CDATA[Systems Thinking]]></category>
		<category><![CDATA[crisis]]></category>
		<category><![CDATA[economy]]></category>
		<category><![CDATA[government]]></category>
		<category><![CDATA[housing]]></category>
		<category><![CDATA[stimulus]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=3465</guid>

					<description><![CDATA[<p>Editor&#8217;s Note: This is a guest post from isee&#8217;s training and consulting partner, Corey Peck of Lexidyne LLC. The mid-term elections are now a month behind us and the political airwaves are still abuzz with commentary about the results.  Exit polls showed that unemployment was at the top of most voters’ list of issues, and that &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/systems-thinking/the-politics-of-economic-recovery/">The Politics of Economic Recovery</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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		<title>What are &#8220;Mental Models&#8221;? Part 2</title>
		<link>https://blog.iseesystems.com/systems-thinking/what-are-mental-models-part-2/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=what-are-mental-models-part-2</link>
					<comments>https://blog.iseesystems.com/systems-thinking/what-are-mental-models-part-2/#comments</comments>
		
		<dc:creator><![CDATA[Jeremy Merritt]]></dc:creator>
		<pubDate>Wed, 03 Nov 2010 17:35:00 +0000</pubDate>
				<category><![CDATA[Systems Thinking]]></category>
		<category><![CDATA[feedback-loops]]></category>
		<category><![CDATA[iThink/STELLA]]></category>
		<category><![CDATA[mental model]]></category>
		<category><![CDATA[oscillation]]></category>
		<category><![CDATA[population dynamics]]></category>
		<category><![CDATA[predator-prey]]></category>
		<category><![CDATA[simulation]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=3365</guid>

					<description><![CDATA[<p>Editor’s note:  This post is part two of a two part series on mental models.  You can read the first post by clicking here. In part one of this series I stated “A mental model is a model that is constructed and simulated within a conscious mind.”  A key part of this definition is that &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/systems-thinking/what-are-mental-models-part-2/">What are “Mental Models”? Part 2</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>8</slash:comments>
		
		
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		<title>2010 isee User Conference &#8220;Making Connections&#8221;</title>
		<link>https://blog.iseesystems.com/news-announcements/2010_isee_user_conference/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=2010_isee_user_conference</link>
					<comments>https://blog.iseesystems.com/news-announcements/2010_isee_user_conference/#comments</comments>
		
		<dc:creator><![CDATA[Joanne Egner]]></dc:creator>
		<pubDate>Thu, 21 Oct 2010 16:01:22 +0000</pubDate>
				<category><![CDATA[News & Announcements]]></category>
		<category><![CDATA[conferences]]></category>
		<category><![CDATA[violence]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=3252</guid>

					<description><![CDATA[<p>Earlier this month, we had the pleasure of hosting the 2010 isee User Conference in Providence, Rhode Island. During this amazing gathering of isee customers, partners, friends, and iThink/STELLA enthusiasts, we learned about the important work that is being done applying Systems Thinking to solve real-world problems, shared ideas, and made connections with one another. &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/news-announcements/2010_isee_user_conference/">2010 isee User Conference “Making Connections”</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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		<title>System Dynamics Conference in Seoul</title>
		<link>https://blog.iseesystems.com/news-announcements/system-dynamics-conference-in-seoul/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=system-dynamics-conference-in-seoul</link>
					<comments>https://blog.iseesystems.com/news-announcements/system-dynamics-conference-in-seoul/#respond</comments>
		
		<dc:creator><![CDATA[Joanne Egner]]></dc:creator>
		<pubDate>Tue, 10 Aug 2010 11:00:42 +0000</pubDate>
				<category><![CDATA[News & Announcements]]></category>
		<category><![CDATA[Barry Richmond]]></category>
		<category><![CDATA[conferences]]></category>
		<category><![CDATA[scholarship]]></category>
		<category><![CDATA[System Dynamics Society]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=3187</guid>

					<description><![CDATA[<p>isee systems is proud to have sponsored the 28th International System Dynamics Conference held in Seoul, Korea last month.  We especially enjoyed supporting the conference again this year through the Barry Richmond Scholarship Award.   The scholarship was established in 2007 to honor and continue the legacy of our company founder, Barry Richmond.  Barry was devoted to helping others become better “Systems Citizens”.  It was his &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/news-announcements/system-dynamics-conference-in-seoul/">System Dynamics Conference in Seoul</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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		<title>What is Delta Time (DT)?</title>
		<link>https://blog.iseesystems.com/modeling-tips/why-dt-matters/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=why-dt-matters</link>
					<comments>https://blog.iseesystems.com/modeling-tips/why-dt-matters/#comments</comments>
		
		<dc:creator><![CDATA[Nat Pierson]]></dc:creator>
		<pubDate>Tue, 03 Aug 2010 17:13:15 +0000</pubDate>
				<category><![CDATA[Modeling Tips]]></category>
		<category><![CDATA[DT]]></category>
		<category><![CDATA[iThink/STELLA]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=3004</guid>

					<description><![CDATA[<p>After reading Karim Chichakly’s recent post on Integration Methods and DT, I was reminded that delta time (DT) has always been a tricky modeling concept for me to grasp.   Beginning modelers don&#8217;t usually need to think about changing DT since STELLA and iThink set it to a useful default value of 0.25.   But once you &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/modeling-tips/why-dt-matters/">What is Delta Time (DT)?</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>9860</slash:comments>
		
		
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		<title>Integration Methods and DT</title>
		<link>https://blog.iseesystems.com/modeling-tips/integration-methods-and-dt/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=integration-methods-and-dt</link>
					<comments>https://blog.iseesystems.com/modeling-tips/integration-methods-and-dt/#comments</comments>
		
		<dc:creator><![CDATA[Karim Chichakly]]></dc:creator>
		<pubDate>Wed, 14 Jul 2010 20:51:56 +0000</pubDate>
				<category><![CDATA[Modeling Tips]]></category>
		<category><![CDATA[DT]]></category>
		<category><![CDATA[Euler]]></category>
		<category><![CDATA[Integration]]></category>
		<category><![CDATA[RK4]]></category>
		<category><![CDATA[Runge-Kutta]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=2982</guid>

					<description><![CDATA[<p>The simulation engine underlying STELLA® and iThink® uses numerical integration.  Numerical integration differs from the integration you may have learned in Calculus in that it uses algorithms that approximate the solution to the integration.  The two approximations currently available are known as Euler’s method and the Runge-Kutta method.  All algorithms require a finite value for &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/modeling-tips/integration-methods-and-dt/">Integration Methods and DT</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>11</slash:comments>
		
		
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		<title>Gulf Oil Leak: A Systems Thinking Perspective</title>
		<link>https://blog.iseesystems.com/systems-thinking/gulf-oil-leak/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=gulf-oil-leak</link>
					<comments>https://blog.iseesystems.com/systems-thinking/gulf-oil-leak/#comments</comments>
		
		<dc:creator><![CDATA[Chris Soderquist]]></dc:creator>
		<pubDate>Wed, 30 Jun 2010 18:11:17 +0000</pubDate>
				<category><![CDATA[Systems Thinking]]></category>
		<category><![CDATA[environment]]></category>
		<category><![CDATA[oil production]]></category>
		<category><![CDATA[peak oil]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=2905</guid>

					<description><![CDATA[<p>Editor&#8217;s note: This is a guest post by isee&#8217;s consulting &#38; training partner Chris Soderquist It’s been a little over 10 weeks since the Deepwater Horizon oil rig explosion that has resulted in a constant flow of oil into the Gulf of Mexico.  Oil is now beginning to impact the economy of the Florida coast.  &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/systems-thinking/gulf-oil-leak/">Gulf Oil Leak: A Systems Thinking Perspective</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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		<title>&#8220;Tracing Connections&#8221; book honors Barry Richmond</title>
		<link>https://blog.iseesystems.com/news-announcements/tracing-connections-book-tributes-barry-richmond/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=tracing-connections-book-tributes-barry-richmond</link>
					<comments>https://blog.iseesystems.com/news-announcements/tracing-connections-book-tributes-barry-richmond/#comments</comments>
		
		<dc:creator><![CDATA[Joanne Egner]]></dc:creator>
		<pubDate>Thu, 17 Jun 2010 14:00:59 +0000</pubDate>
				<category><![CDATA[News & Announcements]]></category>
		<category><![CDATA[Education]]></category>
		<category><![CDATA[Systems Thinking]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=2830</guid>

					<description><![CDATA[<p>Barry Richmond was the founder of isee systems and pioneer in the field of systems thinking.  When his life was cut short by a sudden fatal heart attack, Barry was in the prime of his career and the systems thinking community experienced a collective sense of loss and grief. Barry was fully engaged in bringing systems thinking &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/news-announcements/tracing-connections-book-tributes-barry-richmond/">“Tracing Connections” book honors Barry Richmond</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>8</slash:comments>
		
		
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		<title>Steady-State Initialization of Conveyors</title>
		<link>https://blog.iseesystems.com/modeling-tips/steady-state-init-of-conveyors/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=steady-state-init-of-conveyors</link>
					<comments>https://blog.iseesystems.com/modeling-tips/steady-state-init-of-conveyors/#comments</comments>
		
		<dc:creator><![CDATA[Karim Chichakly]]></dc:creator>
		<pubDate>Tue, 25 May 2010 20:55:22 +0000</pubDate>
				<category><![CDATA[Modeling Tips]]></category>
		<category><![CDATA[conveyor]]></category>
		<category><![CDATA[leakage]]></category>
		<category><![CDATA[steady-state]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=2827</guid>

					<description><![CDATA[<p>Conveyors are useful model elements for representing pipelines or processes that take a certain amount of time to complete.  However, adding a leakage flow to a conveyor can make it difficult to initialize a model in steady-state.  The following discussion will explain how to initialize conveyors with leakage in steady-state.  Please refer to the model &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/modeling-tips/steady-state-init-of-conveyors/">Steady-State Initialization of Conveyors</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>6</slash:comments>
		
		
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		<title>What&#8217;s New in isee NetSim 1.1?</title>
		<link>https://blog.iseesystems.com/isee-netsim/isee-netsim-1-1/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=isee-netsim-1-1</link>
					<comments>https://blog.iseesystems.com/isee-netsim/isee-netsim-1-1/#respond</comments>
		
		<dc:creator><![CDATA[Jeremy Merritt]]></dc:creator>
		<pubDate>Mon, 17 May 2010 14:52:59 +0000</pubDate>
				<category><![CDATA[isee NetSim]]></category>
		<category><![CDATA[embedded]]></category>
		<category><![CDATA[Forio]]></category>
		<category><![CDATA[GID]]></category>
		<category><![CDATA[graphical function]]></category>
		<category><![CDATA[graphical input device]]></category>
		<category><![CDATA[netsim]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=2803</guid>

					<description><![CDATA[<p>Last week, we released version 1.1 of the isee NetSim software.  isee NetSim enables iThink and STELLA users to publish their models online so anyone can run them in a web browser.  Version 1.1 introduces several new features.  In this post I will share a couple of those that I am most excited about. Forio &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/isee-netsim/isee-netsim-1-1/">What’s New in isee NetSim 1.1?</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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		<title>We have met an ally and he is Storytelling</title>
		<link>https://blog.iseesystems.com/systems-thinking/we-have-met-an-ally-and-he-is-storytelling/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=we-have-met-an-ally-and-he-is-storytelling</link>
					<comments>https://blog.iseesystems.com/systems-thinking/we-have-met-an-ally-and-he-is-storytelling/#comments</comments>
		
		<dc:creator><![CDATA[Chris Soderquist]]></dc:creator>
		<pubDate>Thu, 29 Apr 2010 20:56:47 +0000</pubDate>
				<category><![CDATA[Systems Thinking]]></category>
		<category><![CDATA[COIN]]></category>
		<category><![CDATA[counter-insurgency]]></category>
		<category><![CDATA[New York Times]]></category>
		<category><![CDATA[Powerpoint]]></category>
		<category><![CDATA[storytelling]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=2760</guid>

					<description><![CDATA[<p>Editor&#8217;s note: This is a guest post by isee&#8217;s consulting &#38; training partner Chris Soderquist Background The April 26, 2010 article in the New York Times titled “We have met the enemy and he is PowerPoint” has created quite a stir. It is particularly telling that three days after its publication, it is the most &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/systems-thinking/we-have-met-an-ally-and-he-is-storytelling/">We have met an ally and he is Storytelling</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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		<title>Converting a Sector-based Model to Modules</title>
		<link>https://blog.iseesystems.com/modeling-tips/converting-sectors-to-modules/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=converting-sectors-to-modules</link>
					<comments>https://blog.iseesystems.com/modeling-tips/converting-sectors-to-modules/#comments</comments>
		
		<dc:creator><![CDATA[Karim Chichakly]]></dc:creator>
		<pubDate>Wed, 17 Mar 2010 08:17:36 +0000</pubDate>
				<category><![CDATA[Modeling Tips]]></category>
		<category><![CDATA[iThink/STELLA]]></category>
		<category><![CDATA[modules]]></category>
		<category><![CDATA[sectors]]></category>
		<category><![CDATA[Version 9.1.2]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=2736</guid>

					<description><![CDATA[<p>I generally do not use modules to build very small models (only a couple of stocks and flows), which may then lead me to use sectors as the model grows because they are very convenient.  By the time I have three sectors, though, it starts to become clear that I should have used modules.  I &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/modeling-tips/converting-sectors-to-modules/">Converting a Sector-based Model to Modules</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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		<title>What are &#8220;Mental Models&#8221;?</title>
		<link>https://blog.iseesystems.com/systems-thinking/what-are-mental-models/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=what-are-mental-models</link>
					<comments>https://blog.iseesystems.com/systems-thinking/what-are-mental-models/#comments</comments>
		
		<dc:creator><![CDATA[Jeremy Merritt]]></dc:creator>
		<pubDate>Fri, 12 Mar 2010 14:00:16 +0000</pubDate>
				<category><![CDATA[Systems Thinking]]></category>
		<category><![CDATA[crisis]]></category>
		<category><![CDATA[market dynamics]]></category>
		<category><![CDATA[mental model]]></category>
		<category><![CDATA[price]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=2690</guid>

					<description><![CDATA[<p>Editor&#8217;s note: This is part one of a two part series on Systems Thinking and mental models In writing and teaching people about Systems Thinking, we often refer to “mental models”.  For some people, this comes as a bit of a surprise, because the context usually involves building models with the iThink or STELLA software.  &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/systems-thinking/what-are-mental-models/">What are “Mental Models”?</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>196</slash:comments>
		
		
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		<title>Modeling the Economic Crisis</title>
		<link>https://blog.iseesystems.com/systems-thinking/modeling-the-economic-crisis/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=modeling-the-economic-crisis</link>
					<comments>https://blog.iseesystems.com/systems-thinking/modeling-the-economic-crisis/#comments</comments>
		
		<dc:creator><![CDATA[Joanne Egner]]></dc:creator>
		<pubDate>Mon, 08 Mar 2010 19:10:43 +0000</pubDate>
				<category><![CDATA[Systems Thinking]]></category>
		<category><![CDATA[crisis]]></category>
		<category><![CDATA[economics]]></category>
		<category><![CDATA[housing]]></category>
		<category><![CDATA[paradox of thrift]]></category>
		<category><![CDATA[video]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=2632</guid>

					<description><![CDATA[<p>I’m often asked by customers that are new to Systems Thinking, “How can this approach add value to conceptualizing and understanding common, everyday issues?”  The issues range from business design to environmental concerns to macroeconomic dynamics.  In response to this question, I can tell you from my personal experience, nothing beats seeing a skilled practitioner use &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/systems-thinking/modeling-the-economic-crisis/">Modeling the Economic Crisis</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>809</slash:comments>
		
		
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		<title>Modeling Bass Diffusion with Rivalry</title>
		<link>https://blog.iseesystems.com/stella-ithink/bass-diffusion-with-rivalry/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=bass-diffusion-with-rivalry</link>
					<comments>https://blog.iseesystems.com/stella-ithink/bass-diffusion-with-rivalry/#comments</comments>
		
		<dc:creator><![CDATA[Karim Chichakly]]></dc:creator>
		<pubDate>Thu, 18 Feb 2010 14:00:10 +0000</pubDate>
				<category><![CDATA[STELLA & iThink]]></category>
		<category><![CDATA[archetypes]]></category>
		<category><![CDATA[arrays]]></category>
		<category><![CDATA[Bass diffusion]]></category>
		<category><![CDATA[iThink/STELLA]]></category>
		<category><![CDATA[market dynamics]]></category>
		<category><![CDATA[Systems Thinking]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=2608</guid>

					<description><![CDATA[<p>This is the last of a three-part series on the Limits to Growth Archetype.  The first part can be accessed here and the second part here. Last time, we explored the effects of Type 1 rivalry (rivalry between different companies in a developing market) on the Bass diffusion model by replicating the model structure.  This &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/stella-ithink/bass-diffusion-with-rivalry/">Modeling Bass Diffusion with Rivalry</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>4</slash:comments>
		
		
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		<title>Modeling Real World Challenges Inspires Students</title>
		<link>https://blog.iseesystems.com/education/new-site-features-models-of-real-world-challenges/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=new-site-features-models-of-real-world-challenges</link>
					<comments>https://blog.iseesystems.com/education/new-site-features-models-of-real-world-challenges/#respond</comments>
		
		<dc:creator><![CDATA[Joanne Egner]]></dc:creator>
		<pubDate>Thu, 04 Feb 2010 18:00:50 +0000</pubDate>
				<category><![CDATA[Education]]></category>
		<category><![CDATA[21st century skills]]></category>
		<category><![CDATA[diana fisher]]></category>
		<category><![CDATA[national standards]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=2508</guid>

					<description><![CDATA[<p>Last summer I had the opportunity to see students from Diana Fisher&#8217;s dynamic modeling class at Wilson High School in Portland, Oregon present their modeling projects to participants of the International System Dynamics Society Conference in Albuquerque. The parallel session was filled with educators and professionals from different fields, many of whom are renowned system dynamicists. I think it is safe &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/education/new-site-features-models-of-real-world-challenges/">Modeling Real World Challenges Inspires Students</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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		<title>Developing a Market Using the Bass Diffusion Model</title>
		<link>https://blog.iseesystems.com/stella-ithink/bass-diffusion-model/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=bass-diffusion-model</link>
					<comments>https://blog.iseesystems.com/stella-ithink/bass-diffusion-model/#comments</comments>
		
		<dc:creator><![CDATA[Karim Chichakly]]></dc:creator>
		<pubDate>Thu, 21 Jan 2010 17:08:21 +0000</pubDate>
				<category><![CDATA[STELLA & iThink]]></category>
		<category><![CDATA[archetypes]]></category>
		<category><![CDATA[Bass diffusion]]></category>
		<category><![CDATA[iThink/STELLA]]></category>
		<category><![CDATA[market dynamics]]></category>
		<category><![CDATA[Systems Thinking]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=2495</guid>

					<description><![CDATA[<p>This is part two of a three part series on Limits to Growth.  Part one can be accessed here and part three can be accessed here. In part one of this series, I explained the Limits to Growth archetype and gave examples in epidemiology and ecology. This part introduces the Bass diffusion model, an effective &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/stella-ithink/bass-diffusion-model/">Developing a Market Using the Bass Diffusion Model</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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		<title>Humanities Major Attempts Dynamic Modeling and Survives!</title>
		<link>https://blog.iseesystems.com/training/humanities-major-attempts-systems-thinking-and-survives/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=humanities-major-attempts-systems-thinking-and-survives</link>
					<comments>https://blog.iseesystems.com/training/humanities-major-attempts-systems-thinking-and-survives/#comments</comments>
		
		<dc:creator><![CDATA[Joanne Egner]]></dc:creator>
		<pubDate>Fri, 15 Jan 2010 21:00:19 +0000</pubDate>
				<category><![CDATA[Training]]></category>
		<category><![CDATA[workshop]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=2441</guid>

					<description><![CDATA[<p>This post is written by Rolf Olsen, a participant in our Introduction to Dynamic Modeling with iThink and STELLA workshop held last month in Colorado Springs.  We thought Rolf&#8217;s perspective would offer insights for those of you who are new to Systems Thinking or curious about applying dynamic modeling to real-world issues. I was very excited about a last-minute chance to &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/training/humanities-major-attempts-systems-thinking-and-survives/">Humanities Major Attempts Dynamic Modeling and Survives!</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>1</slash:comments>
		
		
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		<title>Top Blog Posts of 2009</title>
		<link>https://blog.iseesystems.com/news-announcements/top-blog-posts-of-2009/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=top-blog-posts-of-2009</link>
					<comments>https://blog.iseesystems.com/news-announcements/top-blog-posts-of-2009/#comments</comments>
		
		<dc:creator><![CDATA[Joanne Egner]]></dc:creator>
		<pubDate>Fri, 18 Dec 2009 16:00:30 +0000</pubDate>
				<category><![CDATA[News & Announcements]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=2416</guid>

					<description><![CDATA[<p>In 2009, the isee systems blog, “Making Connections” was created as a forum for sharing ideas and experiences with the Systems Thinking community. Blog topics cover subjects ranging from a systems perspective of current news events to modeling tips for advanced STELLA and iThink users. As the first anniversary of the isee Blog approaches, we &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/news-announcements/top-blog-posts-of-2009/">Top Blog Posts of 2009</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>2</slash:comments>
		
		
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		<title>Limits to Growth</title>
		<link>https://blog.iseesystems.com/stella-ithink/limits-to-growth/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=limits-to-growth</link>
					<comments>https://blog.iseesystems.com/stella-ithink/limits-to-growth/#comments</comments>
		
		<dc:creator><![CDATA[Karim Chichakly]]></dc:creator>
		<pubDate>Thu, 03 Dec 2009 15:00:55 +0000</pubDate>
				<category><![CDATA[STELLA & iThink]]></category>
		<category><![CDATA[archetypes]]></category>
		<category><![CDATA[Causal Loop]]></category>
		<category><![CDATA[CLD]]></category>
		<category><![CDATA[h1n1]]></category>
		<category><![CDATA[population dynamics]]></category>
		<category><![CDATA[Systems Thinking]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=2385</guid>

					<description><![CDATA[<p>This is the first of a three-part series on the Limits to Growth Archetype.  The second part can be accessed here and the third part here. The Limits to Growth Systems Archetype, also known as Limits to Success, combines growth with an exogenous or endogenous limit.  This Systems Archetype was formally identified in Appendix 2 &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/stella-ithink/limits-to-growth/">Limits to Growth</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>12</slash:comments>
		
		
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		<title>Incorporating STELLA into STEM Education</title>
		<link>https://blog.iseesystems.com/education/incorporating-stella-into-stem-education/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=incorporating-stella-into-stem-education</link>
					<comments>https://blog.iseesystems.com/education/incorporating-stella-into-stem-education/#comments</comments>
		
		<dc:creator><![CDATA[Joanne Egner]]></dc:creator>
		<pubDate>Wed, 18 Nov 2009 14:00:47 +0000</pubDate>
				<category><![CDATA[Education]]></category>
		<category><![CDATA[Algebra]]></category>
		<category><![CDATA[h1n1]]></category>
		<category><![CDATA[inquiry-based]]></category>
		<category><![CDATA[lessons]]></category>
		<category><![CDATA[Mathematics]]></category>
		<category><![CDATA[MODSIM]]></category>
		<category><![CDATA[pandemic]]></category>
		<category><![CDATA[Physics]]></category>
		<category><![CDATA[Science]]></category>
		<category><![CDATA[STEM]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=2298</guid>

					<description><![CDATA[<p>Jeremy and I recently attended the MODSIM 2009 Conference in Virginia Beach where we facilitated a pre-conference workshop with the help of Mark Clemente, a local high school science teacher. We’ve been working with Mark over the past year to incorporate dynamic modeling and computer-based simulation into the STEM curriculum at Ocean Lakes High School &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/education/incorporating-stella-into-stem-education/">Incorporating STELLA into STEM Education</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>3</slash:comments>
		
		
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		<title>Modeling H1N1 Flu Outbreak</title>
		<link>https://blog.iseesystems.com/stella-ithink/modeling-h1n1-flu-outbreak/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=modeling-h1n1-flu-outbreak</link>
					<comments>https://blog.iseesystems.com/stella-ithink/modeling-h1n1-flu-outbreak/#comments</comments>
		
		<dc:creator><![CDATA[Jeremy Merritt]]></dc:creator>
		<pubDate>Fri, 13 Nov 2009 21:37:05 +0000</pubDate>
				<category><![CDATA[STELLA & iThink]]></category>
		<category><![CDATA[embedded]]></category>
		<category><![CDATA[epidemic]]></category>
		<category><![CDATA[flu]]></category>
		<category><![CDATA[h1n1]]></category>
		<category><![CDATA[infection]]></category>
		<category><![CDATA[netsim]]></category>
		<category><![CDATA[seir]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=2328</guid>

					<description><![CDATA[<p>It seems like everyone has been talking about H1N1 (swine flu) the last couple of months.  If you have children in school, then you are probably very aware of how fast the virus is spreading.  Schools are the perfect environment for a virus to spread.  To help understand why, we created a STELLA model of &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/stella-ithink/modeling-h1n1-flu-outbreak/">Modeling H1N1 Flu Outbreak</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>11</slash:comments>
		
		
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		<title>Modeling Customers Switching Between Brands – The General Case</title>
		<link>https://blog.iseesystems.com/modeling-tips/array-methods-4/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=array-methods-4</link>
					<comments>https://blog.iseesystems.com/modeling-tips/array-methods-4/#comments</comments>
		
		<dc:creator><![CDATA[Karim Chichakly]]></dc:creator>
		<pubDate>Fri, 23 Oct 2009 13:00:04 +0000</pubDate>
				<category><![CDATA[Modeling Tips]]></category>
		<category><![CDATA[2D array]]></category>
		<category><![CDATA[arrays]]></category>
		<category><![CDATA[iThink/STELLA]]></category>
		<category><![CDATA[market dynamics]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=2248</guid>

					<description><![CDATA[<p>This is the last installment of a four-part series.  The first three parts can be accessed by clicking on the links below. Methods for Using Arrays Effectively Modeling a Watershed with Arrays Modeling Customers Switching Between Brands Generalizing the Model When I showed Steve Peterson (at Lexidyne) my brand switching model, he told me there &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/modeling-tips/array-methods-4/">Modeling Customers Switching Between Brands – The General Case</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>8</slash:comments>
		
		
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		<item>
		<title>Running Mean and Standard Deviation</title>
		<link>https://blog.iseesystems.com/modeling-tips/running-mean-and-stddev/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=running-mean-and-stddev</link>
					<comments>https://blog.iseesystems.com/modeling-tips/running-mean-and-stddev/#comments</comments>
		
		<dc:creator><![CDATA[Karim Chichakly]]></dc:creator>
		<pubDate>Thu, 22 Oct 2009 15:25:57 +0000</pubDate>
				<category><![CDATA[Modeling Tips]]></category>
		<category><![CDATA[builtins]]></category>
		<category><![CDATA[iThink/STELLA]]></category>
		<category><![CDATA[modules]]></category>
		<category><![CDATA[Version 9.1.2]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=2139</guid>

					<description><![CDATA[<p>This is an update to post published on August 31, 2009.  The attached model was updated to find negative means and an alternate method was included at the end. I am frequently asked which built-in function gives either the running mean or running standard deviation of a model variable.  Unfortunately, there is no such built-in &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/modeling-tips/running-mean-and-stddev/">Running Mean and Standard Deviation</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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			<slash:comments>6</slash:comments>
		
		
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		<title>C02 in the Atmosphere Behaves Like a Bathtub</title>
		<link>https://blog.iseesystems.com/news-announcements/c02-in-the-atmosphere-behaves-like-a-bathtub/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=c02-in-the-atmosphere-behaves-like-a-bathtub</link>
					<comments>https://blog.iseesystems.com/news-announcements/c02-in-the-atmosphere-behaves-like-a-bathtub/#comments</comments>
		
		<dc:creator><![CDATA[Jeremy Merritt]]></dc:creator>
		<pubDate>Fri, 16 Oct 2009 18:21:26 +0000</pubDate>
				<category><![CDATA[News & Announcements]]></category>
		<category><![CDATA[c02]]></category>
		<category><![CDATA[Climate Change]]></category>
		<category><![CDATA[netsim]]></category>
		<category><![CDATA[policy]]></category>
		<category><![CDATA[webinar]]></category>
		<guid isPermaLink="false">http://blog.iseesystems.com/?p=2239</guid>

					<description><![CDATA[<p>Last Friday we hosted the first of a four-part web seminar series titled Modeling for Environmental Sustainability.  This first session was about how you can use simple bathtub dynamics to understand climate change. In the session, Chris Soderquist demonstrates how you can use embeddable simulations to help raise awareness and understanding about climate change.  Using &#8230;</p>
<p>The post <a href="https://blog.iseesystems.com/news-announcements/c02-in-the-atmosphere-behaves-like-a-bathtub/">C02 in the Atmosphere Behaves Like a Bathtub</a> first appeared on <a href="https://blog.iseesystems.com">Making Connections</a>.</p>]]></description>
		
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