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.

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.

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.

Water quality and accessibility can impact most aspects of life such as hygiene, medicine, thermal comfort, sewage disposal, and health, to name a few. Rising concerns related to the quality of drinking water in the United States caused by municipal water utility failures such as in Texas or in Michigan has led to an inquiry into the root cause of how a supply-chain for a basic necessity such as water can run into issues. After initial research and investigation, one hypothesis for this was the nature of how recyclable materials in a linear economy eventually run into production or storage problems as exhaustible resources (or space) become less accessible over time. To remedy this issue, LifeGear360 is introduced to allow individual users the liberty to treat their water directly if needed, while also remaining in a circular economy for the lifecycle of the product. As a backpack with water treatment capabilities, natural plant fibers are used to ensure a renewable cycle of production while also redefining the traditional “plastic-taste” characteristics many people associate with water pouches to a smoother, cleaner taste. Engineering, sustainability, and business and public service practice have been used in an interdisciplinary way to prepare this product for its intended use such as in school, for travel, and for the outdoors. According to the collected outreach, many indicated that they feel as though there is a need for a product that allows for the feeling of water security which can include carrying any personal belongings as well. Marketing strategies such as logo creating and online outreach continually influence product design, up until production would take place following the finalized design.

This study attempts to answer the following questions: Is civic engagement a social activity among 18-25-year-old college students? How are opinions regarding civic and political engagement impacted by social settings? How are civic and political engagement atmospheres impacted by social distancing and isolation protocol? In this study, the researcher hypothesized that civic and political engagement are social activities, so they are therefore susceptible to changing social context. Since the COVID-19 pandemic disrupted typical social interaction through social distancing and isolation protocol, the researcher hypothesized that it also altered mechanisms of civic and political engagement. Political engagement would be more prevalent among students who participate with others even in pandemic conditions that may otherwise decrease close contact and social interactions. These findings seem to disagree with the literature that suggests young people are supplanting voting with other forms of engagement (Zukin et al., 2006). Rather, the “complexity” denoted in interviews and in reports of engagements on the pre- and post-election surveys suggests that young people are voting as well as dedicating their time to other activities. Voting does seem to be a social activity according to the interviews, poll observations, and the surveys. This is consistent with the literature regarding social norms and group predictors. However, this social aspect of engagement seems to manifest in a wider variety of formats that originally thought. Finally, students continued to engage in the context of the pandemic that surrounded the election in question. It seems that the formats through which students engaged have expanded to maintain the connections that are crucial to civic participation.

With the passage of the Affordable Care Act, the health system in the United States is now being further challenged. There is bipartisan debate on how it can be reconstructed: one party states that the government plays too big of a role, while the other believes it plays too little. Regardless, Americans want change. Reconstruction is not a new topic by any means, and other countries have been forced to do so due to political violence. This paper explores the history and current healthcare organizations of Japan, Iraq, and Afghanistan. These countries have all encountered major political turmoil, which has led to the rebuilding of their respective healthcare systems. Though the United States is not facing political violence that will necessitate reorganization, the examination of nations that have been forced to do so offers lessons applicable to the healthcare system in the US.

Time studies are an effective tool to analyze current production systems and propose improvements. The problem that motivated the project was that conducting time studies and observing the progression of components across the factory floor is a manual process. Four Industrial Engineering students worked with a manufacturing company to develop Computer Vision technology that would automate the data collection process for time studies. The team worked in an Agile environment to complete over 120 classification sets, create 8 strategy documents, and utilize Root Cause Analysis techniques to audit and validate the performance of the trained Computer Vision data models. In the future, there is an opportunity to continue developing this product and expand the team’s work scope to apply more engineering skills on the data collected to drive factory improvements.

This thesis examines the current polarization of news media, specifically written journalism, either in newspapers or on news websites. Americans increasingly get their news from polarized sources, and that is leading to a large divide in information. This issue is also exacerbated by political idealogy. Furthermore, I explore how the traditional business model of advertising-based revenue is leading to more polarized news coverage. To combat this, I offer interventions for news organizations, including the importance of journalistic ethics and the possibility of more news organizations transferring to nonprofit status, which has gained traction in recent years. Access to accurate news and information is essential in a functioning democracy, and if polarization and issues in news continue, it will be harmful to America as a whole.