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Emergence of Cooperation in Civil War

Gentil Fernandes, Leonardo (2023) Emergence of Cooperation in Civil War. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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Why do some rebel groups fail to unite against a common competitor? To answer this question, I start with the observation that civil wars are complex systems where individuals cooperate to form groups who then cooperate to form alliances. Thus, both group-level and individual-level actors produce behaviors only usefully explained in the context of both levels. I then argue that rebel groups emerge from the interactions of individuals where macro-level distributions of individual preferences aggregate into group-level goals, which play a pivotal role in shaping the cooperation decisions of rebel groups because they are essential to maintain group cohesion. Specifically, I argue that we should expect groups to avoid cooperating with groups with dissimilar goals. This dissertation uses a multi-method research approach to create a cohesive framework that integrates insights from an in-depth case study of the Ethiopian conflict, an original ABM, and Bayesian analysis to further researchers' understanding of civil wars.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Gentil Fernandes, Leonardolef54@pitt.edulef540000-0002-9443-3725
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee CoChairColaresi,
Committee CoChairSavun,
Committee MemberCondra,
Committee MemberMaves Braithwait,
Date: 6 September 2023
Date Type: Publication
Defense Date: 26 July 2023
Approval Date: 6 September 2023
Submission Date: 30 July 2023
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 229
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Political Science
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: Civil Wars, Alliances, Group Formation, Agent-Based Model, Bayesian Latent Variable Model
Date Deposited: 06 Sep 2023 15:43
Last Modified: 06 Sep 2023 15:43


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