Descriptive representation is important to building and maintaining a fair court system, especially within a context of historical oppression by race or gender. Using official government biographies, voter rolls, news articles, and press releases, I collected demographic information on the judges of Arizona and compared it to Census data, to show how under representative the state courts of Arizona currently are. Through the use of non-attorney judges, the Justice Court of Arizona has become the most representative level of the state court. Almost all of the BIPOC judges of the Justice Court are not attorneys. Allowing non-attorney Justices of the Peace has made it possible for the court to be more representative of Arizonans. However, even though it is the most representative state court, the Justice Court vastly under represents women and BIPOC as judges. As racial tension and movements for fairness under the law increase, it is important to challenge how the courts could better serve Arizona.

Artificial Intelligence’s facial recognition programs are inherently racially biased. The programs are not necessarily created with the intent to disproportionately impact marginalized communities, but through their data mining process of learning, they can become biased as the data they use may train them to think in a biased manner. Biased data is difficult to spot as the programming field is homogeneous and this issue reflects underlying societal biases. Facial recognition programs do not identify minorities at the same rate as their Caucasian counterparts leading to false positives in identifications and an increase of run-ins with the law. AI does not have the ability to role-reverse judge as a human does and therefore its use should be limited until a more equitable program is developed and thoroughly tested.

The thesis analyzes the apathetic youth turnout myth and researches to see if voter suppression can explain the reason behind low youth turnout. This thesis is a study done with Arizona State University students to assess their level of voter turnout, their levels of political engagement, and if they have experienced voter suppression. Respondents were also asked about the support given by ASU in terms of helping with the voting process. Results indicate that Arizona State students have high levels of political engagement, and that 1 in 5 ASU students have experienced voter suppression. Furthermore, ASU students on a whole are uncertain about the role ASU should play in supporting students with the voting process.

As political campaigning becomes increasingly digital and data-driven, data privacy has become a question of democratic governance. Yet, Congress has yet to pass a comprehensive federal data privacy law and even the strongest subnational data privacy laws exempt political campaigns from regulation. <br/><br/>This thesis examines how data privacy laws impact data-driven and digital political campaigning. Specifically, it investigates what information is incorporated into the political data ecosystem, how data privacy laws regulate the collection of this data, and how actors in the political data ecosystem respond to these laws. It examines both sector-specific federal law and subnational data protection regulation through a case study of California. This research suggests that although the California Consumer Privacy Act and California Privacy Rights Act are landmark steps in American data protection, subnational data privacy law remains inhibited by the federal market-based approach.

Disinformation has long been a tactic used by the Russian government to achieve its goals. Today, Vladimir Putin aims to achieve several things: weaken the United States’ strength on the world stage, relieve Western sanctions on himself and his inner circle, and reassert dominant influence over Russia’s near abroad (the Baltics, Ukraine, etc.). This research analyzed disinformation in English, Spanish, and Russian; noting the dominant narratives and geopolitical goals Russia hoped to achieve by destabilizing democracy in each country/region.

The application of Toni Morrison’s Beloved as a lens through which one can analyze intergenerational trauma on an individual and communal level results in a blueprint towards a remedial process. The characters and their experiences in her novel are representative of a myriad of ways in which trauma is manifested. I have broken down the concept of intergenerational trauma into the idea that it can be seen as the state where one is both simultaneously “falling” and “fallen” at the same time. Used here, the term “falling” refers to the consistent, individual trauma that one is experiencing. On the other hand, the term “fallen” refers to the trauma that a community as a whole has experienced and internalized. This framework that I establish based off of Beloved is a launching point for the conversation surrounding the topic of remedial actions in relation to intergenerational trauma that resulted from slavery. Using it as a basis of knowledge allows one to truly gather the weight of the situation regarding trauma postbellum. Considering the current climate surrounding any meaningful dialogue, knowledge is one of the most important aspects. Along with the concepts of “falling”/”fallen,” I also coined the term productive memory, which refers to the act of confrontation as well as the remembering of intergenerational trauma. The use of productive memory is imperative in addressing the prior ideas presented regarding intergenerational trauma and the possible pathways to move forward.

The field of behavioral economics explores the ways in which individuals make choices under uncertainty, in part, by examining the role that risk attitudes play in a person’s efforts to maximize their own utility. This thesis aims to contribute to the body of economic literature regarding risk attitudes by first evaluating the traditional economic method for discerning risk coefficients by examining whether students provide reasonable answers to lottery questions. Second, the answers of reasonable respondents are subject to our economic model using the CRRA utility function in which Python code is used to make predictions of the risk coefficients of respondents via a two-step regression procedure. Lastly, the degree to which the economic model provides a good fit for the lottery answers given by reasonable respondents is discerned. The most notable findings of the study are as follows. College students had extreme difficulty in understanding lottery questions of this sort, with Medical and Life Science majors struggling significantly more than both Business and Engineering majors. Additionally, gender was correlated with estimated risk coefficients, with females being more risk-loving relative to males. Lastly, in regards to the model’s goodness of fit when evaluating potential losses, the expected utility model involving choice under uncertainty was consistent with the behavior of progressives and moderates but inconsistent with the behavior of conservatives.

The United States is an empire. It was founded as such and continues to be one to this day. However, during the most prominent periods of imperial expansion, anti-imperialist organizations and politicians often rise up to oppose these further imperialist actions. This thesis paper examines the rhetoric used by these organizations and politicians, particularly through their speeches and platforms. The primary focus is on the role of American exceptionalism in this rhetoric, and what American anti-imperialism not rooted in this concept looks like. This analysis will be done by looking at a few key specific texts from these organizations and politicians, including (but not limited to) the platform of the Anti-Imperialist League and the speech Representative Barbara Lee gave to explain her lone no vote on the Authorization for Use of Military Force in Afghanistan in 2001.