<node id="387171">
  <nid>387171</nid>
  <type>event</type>
  <uid>
    <user id="27707"><![CDATA[27707]]></user>
  </uid>
  <created>1426168835</created>
  <changed>1475891323</changed>
  <title><![CDATA[Ph.D. Defense by: Diane Alleva Caceres]]></title>
  <body><![CDATA[<p><strong>Ph.D. Thesis Defense: Diane Alleva Caceres</strong></p><p><strong><br /></strong></p><p><strong>Advisor:</strong> Dr. Kirk Bowman</p><p>&nbsp;</p><strong>Committee:</strong>&nbsp;Dr. Kirk S. BowmanJon R. Wilcox Term Professor inSoccer, Global Politics, and SocietySam Nunn School of International AffairsGeorgia Institute of Technology&nbsp;Dr. Dan BreznitzSam Nunn School of International AffairsGeorgia Institute of TechnologyMunk Chair of Innovation StudiesMunk School of Global AffairsUniversity of Toronto&nbsp;&nbsp;Dr. Alasdair YoungAssociate Professor and Jean Monnet ChairSam Nunn School of International AffairsGeorgia Institute of Technology&nbsp;Dr. Steven CasperDean of the School of Applied Life SciencesHenry E. Riggs Professor of ManagementKeck Graduate Institute&nbsp;Dr. Elisabeth B. ReynoldsExecutive DirectorIndustrial Performance CenterMassachusetts Institute of Technology&nbsp;<strong>Time: 9:30AM</strong><strong>Date: Monday, 30 March 2015</strong><strong>Location: Ivan Allen College 136</strong><p>&nbsp;</p><p><strong>Title</strong>: "Constructing Knowledge-based Industries in the Globalization Era:&nbsp;</p><p>Social Learning, the Political Process and Institutional Change" &nbsp;&nbsp;</p><p>&nbsp;</p><p><strong>Abstract:</strong></p><p>Countries including Australia, Canada and the United States have been promoting knowledge-based</p><p>industries, especially those requiring a significant scientific base like</p><p>bioscience, as engines of economic growth. This dissertation compares changes</p><p>in finance, skill development and corporate governance institutions, all of</p><p>which are critical to the bioscience industry, as part of countries’ strategic</p><p>responses to global technological and economic shocks. Because regions within</p><p>countries increasingly design their own economic institutions, this research also</p><p>compares the industrialized provinces of Quebec and Ontario as well as the Atlantic</p><p>Canadian provinces of New Brunswick, Newfoundland, Nova Scotia and Prince</p><p>Edward Island and their aspiring bioscience industries. Two factors help</p><p>explain institutional change and the different configurations: degree of social</p><p>learning – disruptive or incremental, and, type of iterative bargaining –</p><p>coordinative or fragmented. These variables in turn are impacted by the presence</p><p>and type of knowledge-oriented policy community. Within each case I examine the</p><p>mechanisms through which the social learning and iterative bargaining process</p><p>occurs in response to two global shocks: the 1980s discovery and use of rDNA</p><p>techniques as well as the 2008 global financial crisis. Research reveals a</p><p>diversity of institutional configurations over time representing high, mixed or</p><p>low levels of commitment.</p><p>&nbsp;</p><p>&nbsp;</p>]]></body>
  <field_summary_sentence>
    <item>
      <value><![CDATA[Constructing Knowledge-based Industries in the Globalization Era:  Social Learning, the Political Process and Institutional Change]]></value>
    </item>
  </field_summary_sentence>
  <field_summary>
    <item>
      <value><![CDATA[]]></value>
    </item>
  </field_summary>
  <field_time>
    <item>
      <value><![CDATA[2015-03-30T10:30:00-04:00]]></value>
      <value2><![CDATA[2015-03-30T12:30:00-04:00]]></value2>
      <rrule><![CDATA[]]></rrule>
      <timezone><![CDATA[America/New_York]]></timezone>
    </item>
  </field_time>
  <field_fee>
    <item>
      <value><![CDATA[]]></value>
    </item>
  </field_fee>
  <field_extras>
      </field_extras>
  <field_audience>
          <item>
        <value><![CDATA[Public]]></value>
      </item>
      </field_audience>
  <field_media>
      </field_media>
  <field_contact>
    <item>
      <value><![CDATA[]]></value>
    </item>
  </field_contact>
  <field_location>
    <item>
      <value><![CDATA[]]></value>
    </item>
  </field_location>
  <field_sidebar>
    <item>
      <value><![CDATA[]]></value>
    </item>
  </field_sidebar>
  <field_phone>
    <item>
      <value><![CDATA[]]></value>
    </item>
  </field_phone>
  <field_url>
    <item>
      <url><![CDATA[]]></url>
      <title><![CDATA[]]></title>
            <attributes><![CDATA[]]></attributes>
    </item>
  </field_url>
  <field_email>
    <item>
      <email><![CDATA[]]></email>
    </item>
  </field_email>
  <field_boilerplate>
    <item>
      <nid><![CDATA[]]></nid>
    </item>
  </field_boilerplate>
  <links_related>
      </links_related>
  <files>
      </files>
  <og_groups>
          <item>221981</item>
      </og_groups>
  <og_groups_both>
          <item><![CDATA[Graduate Studies]]></item>
      </og_groups_both>
  <field_categories>
          <item>
        <tid>1788</tid>
        <value><![CDATA[Other/Miscellaneous]]></value>
      </item>
      </field_categories>
  <field_keywords>
          <item>
        <tid>1366</tid>
        <value><![CDATA[defense]]></value>
      </item>
          <item>
        <tid>2248</tid>
        <value><![CDATA[Graduate Studies]]></value>
      </item>
          <item>
        <tid>115361</tid>
        <value><![CDATA[Ph.D]]></value>
      </item>
      </field_keywords>
  <userdata><![CDATA[]]></userdata>
</node>
