Barrett, The Honors College Thesis/Creative Project Collection
Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.
Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.
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- Creators: Martin, Thomas
- Creators: Loebenberg, Abby
Visualizations can be an incredibly powerful tool for communicating data. Data visualizations can summarize large data sets into one view, allow for easy comparisons between variables, and show trends or relationships in data that cannot be seen by looking at the raw data. Empirical information and by extension data visualizations are often seen as objective and honest. Unfortunately, data visualizations are susceptible to errors that may make them misleading. When visualizations are made for public audiences that do not have the statistical training or subject matter expertise to identify misleading or misrepresented data, these errors can have very negative effects. There is a good deal of research on how best to create guidelines for creating or systems for evaluating data visualizations. Many of the existing guidelines have contradicting approaches to designing visuals or they stress that best practices depend on the context. The goal of this work is to define the guidelines for making visualizations in the context of a public audience and show how context-specific guidelines can be used to effectively evaluate and critique visualizations. The guidelines created here are a starting point to show that there is a need for best practices that are specific to public media. Data visualization for the public lies at the intersection of statistics, graphic design, journalism, cognitive science, and rhetoric. Because of this, future conversations to create guidelines should include representatives of all these fields.
This study investigates the impact of the COVID-19 pandemic on telemedicine-prescribed controlled substances by discussing the opinions of pharmacists holding an Arizona pharmacy license. To accommodate the rapid changes during the COVID-19 pandemic, the federal government adapted pharmacy laws to better support the healthcare community. The use of remote healthcare services such as telemedicine visits and online pharmacy services dramatically increased during the pandemic, so regulators waived tele-health restrictions like the Ryan Haight Act. This study involved structured interviews with 3 participants. The interviews revealed a positive outlook on the future of telehealth and the possibilities of modernizing healthcare and pharmacy. The study suggests that the waiving of the Ryan Haight Act was perceived somewhat positively by pharmacists, although they still had concerns regarding abandoning parts of the Act from a patient safety standpoint. The study concludes that certain pharmacy and telemedicine regulations are outdated given the positive and negative outcomes of these laws during the global pandemic. While this study offers insights on bringing various healthcare and law arguments together, the small sample size results in limited scope. The study still provides points of discussion to offer recommendations for implementation of the Ryan Haight Act and other similar tele-health and online-pharmacy regulations.
In September 2022, production company Netflix released their limited series Dahmer - Monster: The Jeffrey Dahmer Story, a series that focuses on the life and crimes of infamous serial killer Jeffrey Dahmer. Shortly thereafter the series would become one of the most successful series in Netflix history. However, this popularity did not come without extensive criticism from viewers, critics, and family members of Dahmer’s victims. This project seeks to evaluate the mass appeal of Netflix’s Dahmer through the theoretical framework of Carl Jung’s collective unconscious and the shadow archetype. Scholars have previously tried to explain the appeal of true crime as a genre without reaching a consensus. This project analyzes the existing explanations for the appeal of true crime along with why these explanations are unsatisfactory when seeking to explain the appeal of Dahmer, followed with an analysis of how the shadow engages with Netflix’s Dahmer through the ability to become secondarily conscious through Dahmer and the projection of one’s shadow qualities onto Dahmer.