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  <title><![CDATA[MS Proposal by Justin Sukernek]]></title>
  <body><![CDATA[<p><strong>Name</strong><strong> : Justin Sukernek</strong></p>

<p><strong>Master&rsquo;s Thesis Proposal Meeting</strong><br />
Date: Tuesday, February 25th</p>

<p>Time: 11:30am-1:00pm</p>

<p>Location: J.S. Coon Building, Room 150</p>

<p>&nbsp;</p>

<p><strong>Advisor:</strong> Rick Thomas, Ph.D. (Georgia Tech)</p>

<p>&nbsp;</p>

<p><strong>Thesis Committee members:</strong></p>

<p>Rick Thomas, Ph.D. (Georgia Tech)</p>

<p>Chris Hertzog, Ph.D. (Georgia Tech)</p>

<p>Chris Wiese, Ph.D. (Georgia Tech)</p>

<p>&nbsp;</p>

<p><strong>Title: EXAMINING THE EFFECT OF COLLABORATION ON POST-GROUP INDIVIDUAL DECISION MAKING</strong></p>

<p>&nbsp;</p>

<p><strong>Abstract:</strong></p>

<p>The effects of collaborating with others on a task have been thoroughly examined in many fields (group decision-making, team research, brainstorming, etc.). However, there seems to be a glaring hole in the literature. Very few studies investigate the impact collaboration has on individual decision-making post collaboration. Although much of the literature concerning brainstorming, group decision-making, teams, economic games, and wisdom of the crowd is ancillary to the specific topic of interest, I review these literatures to the extent they relate to aspect of how collaboration might affect individual decision-making post-collaborative interaction. Much of the literature looking at collaboration report a mix of positive or negative results. This study seeks to extend the extant literature by focusing on the post-collaborative phase and how the effects identified via previous work that occur during group work may persist to influence individual decision-making. I&rsquo;m also measuring the influence of collaboration on individual decision-making using a novel application of the Bayesian truth serum&mdash;a scoring method that grades participant answers as well as their predictions of how the population will answer (Prelec, 2004). Additionally, a collaborative score for each participant will be calculated based on how much support manifests for different options. Comparing each participant&rsquo;s scores on both measures can illuminate precisely the conditions that collaboration leads to positive or negative effects on individual decision-making. I believe that the study has the potential to provide a first step to clarifying and providing some theoretical coherence to the collaboration literature, while introducing a relatively new topic to the literature centered around post-collaborative decision-making.<br />
&nbsp;</p>
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