This study tests a theory detailing the increased likelihood of conflict following an initial resource discovery in the discovering nation and its region. A survey of prior literature shows a multitude of prior research concerning resources and nations' willingness to initiate conflict over those resources, but this prior research lacks any study concerning the effects of the discovery of resources on interstate conflict. The theory discusses the increased likelihood of conflict in the discovering nation as both target and initiator. It further looks at the increased chance of conflict in the discoverer's region due to security dilemmas and proxy wars. The results show strong support for the theory, suggesting nations making new resource discoveries must take extra care to avoid conflict.

This thesis seeks to understand how political awareness affects what information one uses to indicate their approval or disapproval of Congress and its members. More concisely, do more and less aware individuals rely on the same pieces of political information to mold their opinions of Congress? The second question of concern is what role does media consumption play in informing survey respondents about Congress. Third, I consider how survey respondents use cues like the condition of the economy and presidential job performance to help formulate their opinion of Congress Finally, by applying the Congressional approval literature to incumbent level approval, I seek to advance the theory and literature on what motivates the approval of incumbents.

A dearth of pre-existing research in the field prompted this thesis on whether traditional econometric analyses of war deterrent alliances are applicable to modern alliances for counter terror purposes. Apparent foundational and contextual differences between the two types of alliances and the costs and benefits member nations derive from each lead the author to theorize that factors contributing to the formation of each alliance are fundamentally similar. Multiple types of statistical models are used to measure variables from the Correlates of War and Polity datasets combined with custom variables in a new dataset concerning major transnational terrorist attacks and the resultant alliances in testing the effect of traditionally contributing formation factors on alliances against terrorism. The results indicate that some contributing factors are similar, extant analysis tools have utility and that further investigation is justified.

The International Criminal Tribunal for the Former Yugoslavia (ICTY) has been both contentious and successful. By examining the ICTY from a Levinasian ethical standpoint, we might be able to understand how the court uses language to enforce ethical and moral standards upon post-war societies. Using linguistic methods of analysis combined with traditional data about the ICTY, I empirically examine the court using ordinary least squares (OLS) in order to show the impact that language has upon the court's decision making process. I hypothesize that the court is an ethical entity, and therefore we should not see any evidence of bias against Serbs and that language will provide a robust view of the court as an ethical mechanism.