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 %h3 Fellowship Thesis
 %p The culmination of the year’s work as students produce an original contribution to the field of political technology, both to demonstrate their sophisticated understanding of the field and to have a lasting real world impact.
 
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 %h2 Advanced Modules
 %p Advanced modules, lead by a single faculty member, focus on more specific skills and understanding.
 
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 %p
   This module will develop a sociophysics-based framework for understanding and engineering decision-making in teams, organizations, and networks. A core component of this module will be experiential learning activities that engage you directly in real and simulated decisions. Each activity will be linked to a formal computational model of decision-making that explains macro-level outcomes as a result of individual agent behavior. This module will present a practical survey of the emerging field of collective intelligence with a focus on technology-enabled solutions for optimizing decisions.
 
+%a.section-link{:href => "https://docs.google.com/document/d/1q4ZASR9F4mePwsiEOBpGFaPgJx6HZmvdlYjIpzgQBnI/edit?usp=sharing"} Module Guide
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 %h3 Mechanism Design
 %div.profile-subtitle
   Mustafa Warsi