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.

Displaying 1 - 5 of 5
Description
Environmental ethics is often described on a continuum of anthropocentrism to biocentrism. Pet ownership has been shown to correlate with biocentrism. This study aims to answer how strong the correlation is between pet ownership and biocentrism and how pet owners react when pets' needs conflict with the environment. Findings from

Environmental ethics is often described on a continuum of anthropocentrism to biocentrism. Pet ownership has been shown to correlate with biocentrism. This study aims to answer how strong the correlation is between pet ownership and biocentrism and how pet owners react when pets' needs conflict with the environment. Findings from the study confirm previous research that pet owners lean biocentric, but their biocentric beliefs end when their pet's well-being misaligns with environmental concerns.
ContributorsCrawford-Paz Soldan, Esme (Author) / Wynne, Clive (Thesis director) / Minteer, Ben (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)
Created2024-05
Description
The use of genetic management in conservation has sparked much debate around the ethical and environmental impacts of the plans. A case study on the conservation of leopard frogs in Arizona was analyzed to better understand the benefits and issues surrounding genetic management plans. The first part of the case

The use of genetic management in conservation has sparked much debate around the ethical and environmental impacts of the plans. A case study on the conservation of leopard frogs in Arizona was analyzed to better understand the benefits and issues surrounding genetic management plans. The first part of the case focuses on the recent management plan for Chiricahua Leopard Frogs implemented by the Arizona Game and Fish Department. The goal of the plan is to better understand the genetic dynamics of the established Chiricahua Leopard Frog populations to develop a more effective management plan. The second part of the case focuses on the Arizona Game and Fish Department’s management of the Northern Leopard Frog. There was little success with the initial breed and release program of the native species, however a nonnative subspecies of Northern Leopard Frog was able to establish a thriving population. This case study exemplifies the many complications with genetic management plans and the importance of careful assessment of options when deciding on a genetic management plan. Despite the complexity of genetic management plans, it is an important method to consider when discussing the conservation of a species.
ContributorsTurpen, Alexa (Author) / Murphree, Julie (Thesis director) / Collins, James (Thesis director) / Owens, Audrey (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor) / College of Integrative Sciences and Arts (Contributor) / School of Mathematical and Natural Sciences (Contributor)
Created2024-05
Description
Artificial intelligence (AI) and machine learning (ML) algorithms are revolutionizing the field of healthcare by offering new opportunities for improved diagnosis and treatment planning. These technologies have the potential to transform the way medical professionals approach patient care by analyzing vast amounts of data, identifying patterns, and making predictions. This

Artificial intelligence (AI) and machine learning (ML) algorithms are revolutionizing the field of healthcare by offering new opportunities for improved diagnosis and treatment planning. These technologies have the potential to transform the way medical professionals approach patient care by analyzing vast amounts of data, identifying patterns, and making predictions. This overview highlights the current state of research and development in the field of AI and ML for diagnosis and treatment planning, as well as explore the ethical benefits and challenges associated with their implementation.
ContributorsShankar, Kruthy (Author) / Arquiza, Jose (Thesis director) / Sobrado, Michael (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2024-05
ContributorsShankar, Kruthy (Author) / Arquiza, Jose (Thesis director) / Sobrado, Michael (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2024-05
ContributorsShankar, Kruthy (Author) / Arquiza, Jose (Thesis director) / Sobrado, Michael (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2024-05