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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Description
Pressure from fiduciary duty leads agents within organizational systems to make decisions that result in positive feedback loops that often have inimical unintended consequences. The current corporate climate that often puts the bottom line ahead of environmental and social concerns in the name of fiduciary duty is doing so based

Pressure from fiduciary duty leads agents within organizational systems to make decisions that result in positive feedback loops that often have inimical unintended consequences. The current corporate climate that often puts the bottom line ahead of environmental and social concerns in the name of fiduciary duty is doing so based on a revised interpretation of the term that is clearly to the benefit of the corporations. It is important to note that this modern interpretation is a radical misinterpretation of the intent of the law as our forefathers defined it. However, in spite of the fact that the modern interpretation is leading to inimical unintended consequences, providing the systems agents with the proper training and tools necessary to recognize the cost benefit of implementing sustainable solutions may mitigate some of these positive feedback loops and their associated unintended consequences. By developing tools based on sustainable frameworks we may be able to return these organizations to the original intent of fiduciary duty, which was designed to encourage investment in organizations that worked for the public benefit. A concept that is remarkably similar to the triple bottom line framework that many sustainability professionals advocate on behalf of today.
ContributorsJohnson, Lyle Eric (Author) / Laubichler, Manfred (Thesis director) / Dooley, Kevin (Committee member) / O'Neill, Dan (Committee member) / Barrett, The Honors College (Contributor) / W. P. Carey School of Business (Contributor) / School of Sustainability (Contributor)
Created2015-05
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Description
This work challenges the conventional perceptions surrounding the utility and use of the CMS Open Payments data. I suggest unconsidered methodologies for extracting meaningful information from these data following an exploratory analysis of the 2014 research dataset that, in turn, enhance its value as a public good. This dataset is

This work challenges the conventional perceptions surrounding the utility and use of the CMS Open Payments data. I suggest unconsidered methodologies for extracting meaningful information from these data following an exploratory analysis of the 2014 research dataset that, in turn, enhance its value as a public good. This dataset is favored for analysis over the general payments dataset as it is believed that generating transparency in the pharmaceutical and medical device R&D process would be of the greatest benefit to public health. The research dataset has been largely ignored by analysts and this may be one of the few works that have accomplished a comprehensive exploratory analysis of these data. If we are to extract valuable information from this dataset, we must alter both our approach as well as focus our attention towards re-conceptualizing the questions that we ask. Adopting the theoretical framework of complex systems serves as the foundation for our interpretation of the research dataset. This framework, in conjunction with a methodological toolkit for network analysis, may set a precedent for the development of alternative perspectives that allow for novel interpretations of the information that big data attempts to convey. By thus proposing a novel perspective in interpreting the information that this dataset contains, it is possible to gain insight into the emergent dynamics of the collaborative relationships that are established during the pharmaceutical and medical device R&D process.
Created2016-05
Description
As the US and the rest of the world face a growing need for affordable and accessible higher education, we must more deeply examine the scalability of our universities: how do they change with size? How do different institutional types vary? What makes ASU number one in innovation? At least

As the US and the rest of the world face a growing need for affordable and accessible higher education, we must more deeply examine the scalability of our universities: how do they change with size? How do different institutional types vary? What makes ASU number one in innovation? At least two of these questions have immediate relevance to not only higher education, but political economy and sustainability as well. We apply to institutions the exciting complex systems framework of scaling, which has led to deep theoretical insight into the structure of biological systems and cities (West, Brown and Enquist 1997, Bettencourt 2013). First we group universities into seven distinct sectors, from public research universities to professional schools. Then we examine the returns to scale of university revenues, expenditures, and graduation rates, by correlating these key variables versus total enrollment. We discover that the sectors exhibit some important similarities, but overall leverage different economies of scale to serve their own priorities. These results imply shared mechanisms and constraints among the entire class of institutions. Furthermore, the uniqueness of each sector reveals their "speciation" into diverse institutional models, offering a fresh (though limited) first look at their scale-dependent complementary roles and competitive advantages. Accordingly, we outline what additional data and analyses might sufficiently strengthen these results to make recommendations, at levels ranging from student and family decisions to individual university strategies to sector-wide and system-wide policies. Promising future directions include longitudinal analysis of university growth patterns, detailed outlier analysis, and deeper theoretical investigation of mechanisms that drive the observed scaling.
ContributorsTaylor, Ryan Chin (Author) / Laubichler, Manfred (Thesis director) / Kempes, Chris (Committee member) / LePore, Paul (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / School of Politics and Global Studies (Contributor) / School of Sustainability (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12