Since the global financial crisis of 2007-8, interest in worker-cooperatives and alternative forms of organization has surged. Mondragon, located in the Basque region of Spain, represents the largest federation of worker-cooperatives around the world, consisting of 98 cooperatives and 143 subsidiaries, which earned a total revenue of $14.5 billion in 2019. While previous attempts to establish a similar model have historically reached limited success, Mondragon has achieved a unique balance of remaining economically viable, on the one hand, and staying true to its founding principles of democratic governance, on the other. This paper sets out to analyze the democratic structure and the cooperative culture at the heart of the Mondragon model, as well as the new type of human relationship that it fosters. In particular, this relationship is one in which individual well-being is bound up with communal well-being that avoids the antagonistic clash between the capital and labor.

Previous studies about the effects of regulatory institutions on the outcomes of regulation have resulted in a lack of consensus on the nature of these impacts. This paper seeks to resolve some of this ambiguity by analyzing two dimension of electric utility regulatory outcomes, prices and reliability, with a broader panel of explanatory variables and with a Hausman-Taylor regression technique. The results suggest that elected regulators and deregulated electricity markets result in worse reliability outcomes for consumers without strong evidence that either institution secures lower electricity prices. Incorporating these insights into a theoretical model of regulation could give more detailed insight into how to create regulatory institutions that can optimize the outcomes of governance.

This thesis is about how Liberian activists were able to help Liberian immigrants under Temporary Protected Status and Deferred Enforced Departure (DED) to convince President Trump to extend DED policy. They also lobbied members of Congress to pass the Liberian Relief Immigration Fairness Act, which granted permanent legal status to TPS and DED recipients. My research questions were: How did advocacy groups influence politicians? How did the media cover the narrative that advocacy groups crafted? How was the battle to get an effective resolution accomplished? I interviewed advocacy groups and a congressional staffer and analyzed various primary and secondary sources in order to gain historical context. This case study will provide the reader deeper understanding about the complexity of the broken immigration system in the United States that has been ongoing for many years. I will also discuss the Constitutional debate on prosecutorial discretion that continues to raise the alarm on many issues that complicate the process. Additionally, this study will benefit other countries hoping to solve their immigration crisis and more importantly, it will bring awareness to the general public in the United States and help hold elected officials accountable when discussing the betterment of immigration issues. I found that Liberian activists, TPS and DED recipients were very influential in getting favorable legislation passed.

With the rise of fast fashion and its now apparent effects on climate change, there is an evident need for change in terms of how we as individuals use our clothing and footwear. Our team has created Ray Fashion Inc., a sustainable footwear company that focuses on implementing the circular economy to reduce the amount of waste generated in shoe creation. We have designed a sandal that accommodates the rapid consumption element of fast fashion with a business model that promotes sustainability through a buy-back method to upcycle and retain our materials.

As America undergoes a modern, civil rights movement, the reality of police brutality can no longer be disregarded by everyday voters. The Black Lives Matter movement has become ubiquitous, both in real life and in the media, after the murder of George Floyd. This moment has made way for widespread video coverage of police brutality incidents, a litany of written think pieces dissecting the long-term effectiveness of the police, and a myriad of articles discussing prospective policy actions. With a rise in coverage comes a heightened level of awareness of and conversation around this issue. We have witnessed the pervasiveness of the Black Lives Matter movement and an increasing conversation around the allocation of funding towards police departments. Change has been sparked, but which form of media has most effectively influenced the public? Seeing as one of the principal goals of police-related advocacy groups is to fulfill their vision of a properly functioning police force, including in relation to accountability and reform, it is vital to understand which medium the public is most receptive to. This study and its design serve to examine how exposure to different media regarding police brutality affects people’s opinions on Black Lives Matter, police reform policies, and similar changes. Moving forward, social movements will have a better understanding of which types of media can best target the public when trying to coalesce support around their movement.

Self-efficacy in engineering, engineering identity, and coping in engineering have been shown in previous studies to be highly important in the advancement of one’s development in the field of engineering. Through the creation and deployment of a 17 question survey, undergraduate and first year masters students were asked to provide information on their engagement at their university, their demographic information, and to rank their level of agreement with 22 statements relating to the aforementioned ideas. Using the results from the collected data, exploratory factor analysis was completed to identify the factors that existed and any correlations. No statistically significant correlations between the identified three factors and demographic or engagement information were found. There needs to be a significant increase in the data sample size for statistically significant results to be found. Additionally, there is future work needed in the creation of an engagement measure that successfully reflects the level and impact of participation in engineering activities beyond traditional coursework.

Inspired by John Rawls and his life's work Justice as Fairness, I sought to measure how much political empathy a person has and then compare this to decision-making styles in search of any relation between the two. Political empathy is a term to refer to one's willingness to utilize governmental policy to help those who are the neediest because of the understanding that humans deserve equal treatment since no one is more human than anyone else. Because of current research I found that I can test political empathy because of empathy’s correlation with political ideology; specifically, that those who are more liberal have more empathy. I test participant’s ideology in a normal setting and then present them with the concept of Rawls’ Original Position to see if they shift more one way when presented with this idea which is supposed to make them think more empathetically.<br/>I have two hypothesis that I cover: first, that more people will shift in a more liberal direction between the two tests, and second, that those who have more political empathy make political decisions based more on emotion rather than facts and reason. I tested decision-making through a myriad of tests within a focus group so I could get multiple angles at the issue. My first hypothesis was proven incorrect and while I didn’t have enough participants in my focus groups to make a clear determination, it didn’t look like there was any correlation between political ideology and decision-making styles.

Actuaries can analyze healthcare trends to determine if rates are reasonable and if reserves are adequate. In this talk, we will provide a framework of methods to analyze the healthcare trend during the pandemic. COVID-19 may influence future healthcare cost trends in many ways. First, direct COVID-19 costs may increase the amount of total experienced healthcare costs. However, with the implementation of social distancing, the amount of regularly scheduled care may be deferred to a future date. There are also many unknown factors regarding the transmission of the virus. Implementing epidemiology models allows us to predict infections by studying the dynamics of the disease. The correlation between infection amounts and hospitalization occupancies provide a methodology to estimate the amount of deferred and recouped amounts of regularly scheduled healthcare costs. Thus, the combination of the models allows to model the healthcare cost trend impact due to COVID-19.

In collaboration with Moog Broad Reach and Arizona State University, a<br/>team of five undergraduate students designed a hardware design solution for<br/>protecting flash memory data in a spaced-based radioactive environment. Team<br/>Aegis have been working on the research, design, and implementation of a<br/>Verilog- and Python-based error correction code using a Reed-Solomon method<br/>to identify bit changes of error code. For an additional senior design project, a<br/>Python code was implemented that runs statistical analysis to identify whether<br/>the error correction code is more effective than a triple-redundancy check as well<br/>as determining if the presence of errors can be modeled by a regression model.

This thesis proposes hardware and software security enhancements to the robotic explorer of a capstone team, in collaboration with the NASA Psyche Mission Student Collaborations program. The NASA Psyche Mission, launching in 2022 and reaching the metallic asteroid of the same name in 2026, will explore from orbit what is hypothesized to be remnant core material of an early planet, potentially providing key insights to planet formation. Following this initial mission, it is possible there would be scientists and engineers interested in proposing a mission to land an explorer on the surface of Psyche to further document various properties of the asteroid. As a proposal for a second mission, an interdisciplinary engineering and science capstone team at Arizona State University designed and constructed a robotic explorer for the hypothesized surfaces of Psyche, capable of semi-autonomously navigating simulated surfaces to collect scientific data from onboard sensors. A critical component of this explorer is the command and data handling subsystem, and as such, the security of this system, though outside the scope of the capstone project, remains a crucial consideration. This thesis proposes the pairing of Trusted Platform Module (TPM) technology for increased hardware security and the implementation of SELinux (Security Enhanced Linux) for increased software security for Earth-based testing as well as space-ready missions.