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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Project Proposal</title>
<meta name="description" content="">
<meta name="author" content="Clarence Dillon">
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<![endif]--> <link rel="stylesheet" href = "assets/css/ribbons.css">
</head>
<body>
<div class="reveal">
<div class="slides">
<section class='' data-state='' id='slide-1'>
<h3>Project Proposal</h3>
<p></br> </p>
<hr>
<p>Viewing Conflict Attributes from a World-Systems Perspective</p>
<hr>
<p></br>
</br></p>
<p><small>
<a href="http://www.css.gmu.edu/?q=node/15">CW Dillon</a> </p>
<p>for <em>Conflict Models</em>, CSS739</p>
<p>Fall 2014</p>
<p>George Mason University
</small></p>
<aside class='notes'>
<p>I am a PhD student in the Department of Computational Social Sciences, at the Krasnow Institute for Advanced Studies. We focus our research on understanding complex adaptive social systems from a behavioral (even cognitive) perspective. This seminar, by Dr. Claudio Cioffi-Revilla focuses on models of conflict: statistical models, games and decision models, dynamic models and agent-based models, for example.</p>
</aside>
</section>
<section class='class' data-state='' id='id'>
<h3>Getting More from War Data</h3>
<ul>
<li>Correlates of War (COW) data is some of the most comprehensive data about conflicts
<ul>
<li>curated, reviewed, validated </li>
<li>covers the period 1820-current</li>
</ul></li>
<li>Analysis of COW data has been mostly via regression models</li>
</ul>
</section>
<section>
<section class='' data-state=''>
<h3>World-Systems Analysis</h3>
<ul>
<li>Quantitative approach to world history </li>
<li>Divides the international political economy worlds:
<ul>
<li>core ( $1<sup>{st}$</sup> world)</li>
<li>semi-periphery ( $2<sup>{nd}$</sup> world)</li>
<li>periphery ( $3<sup>{rd}$</sup> world)</li>
</ul></li>
<li>Often applied in conjunction with ``dependence theory'' to explain differing development rates around the world</li>
</ul>
<aside class='notes'>
</aside>
</section>
<section class='' data-state=''>
<h3>World-Systems and Conflict</h3>
<ul>
<li>Dependence theory interprets world-systems analysis as evidence of global class struggles, ala Marx
<ul>
<li>core exploits the periphery</li>
<li>chains of economic development</li>
</ul></li>
<li>Root cause of conflict is undefended wealth</li>
</ul>
<aside class='notes'>
</aside>
</section>
<section class='' data-state=''>
<h3>Scholarship</h3>
<ul>
<li>Immanuel Wallerstein
<ul>
<li>First published on world-systems analysis in 1974</li>
<li><em>Origins of the European World-Economy in the Sixteenth Century</em></li>
<li>multi-cultural territorial division of labor</li>
</ul></li>
<li>Frank & Gills
<ul>
<li>anthropoligists</li>
<li>widened concept to study development patterns back to Mesopotamia</li>
</ul></li>
</ul>
<aside class='notes'>
</aside>
</section>
<section class='' data-state=''>
<h3>Data</h3>
<ul>
<li>COW data easily had</li>
<li>COW Trade data is incomplete, several inconsistencies</li>
<li>No (current) world-system network data
<ul>
<li>Norbum 1900-1960</li>
<li>Text of Michael Haas 1968 World Hierarchies data</li>
<li>Gravity data for war-trade relationships (Ward, et al 2013)</li>
</ul></li>
</ul>
<aside class='notes'>
</aside>
</section>
<section class='' data-state=''>
<h3>World Trade Data</h3>
<ul>
<li>Cross-National Time Series Data Archive: CNTS (Banks 1968)</li>
<li>Maddison Historical Statistics (Maddison 2013)</li>
<li>Other incomplete sets:
<ul>
<li>World Trade Organization</li>
<li>Economics Web Institute</li>
</ul></li>
</ul>
<aside class='notes'>
</aside>
</section>
</section>
<section>
<section class='' data-state=''>
<h3>Project</h3>
<ul>
<li>Build on the structural interpretation of world-systems analyis
<ul>
<li>Haas</li>
<li>Russett</li>
</ul></li>
<li>Review previous methods of analysing conflict
<ul>
<li>Richardson</li>
<li>Cioffi-Revilla</li>
</ul></li>
<li>Expand the utility of COW
<ul>
<li>Spatial</li>
<li>Structural</li>
</ul></li>
</ul>
<aside class='notes'>
</aside>
</section>
</section>
<section class='' data-state='' id='slide-5'>
<h2>Status</h2>
<ul>
<li>Still building annual networks 1870-2009
<ul>
<li>Chase-Dunn <em>openness</em> measure: ${imports} / {per capita GDP}$</li>
<li>Barbieri (COW) trade + Maddison <em>per capita</em> GDP</li>
<li>MPP imputation for Maddison data</li>
</ul></li>
<li>Undecided on some metrics
<ul>
<li>UCINET/SNA core-periphery <em>vs</em> igraph ``coreness''</li>
<li>3 x 3 (core, semi-per, periphery) <em>vs</em> 2 x 2</li>
</ul></li>
</ul>
</section>
</div>
</div>
</body>
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