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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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Influenza has shown its potential to affect and even kill millions of people within an extremely short time frame, yet studies and surveys show that the general public is not well educated about the facts about influenza, including prevention and treatment. For this reason, public perception of influenza is extremely

Influenza has shown its potential to affect and even kill millions of people within an extremely short time frame, yet studies and surveys show that the general public is not well educated about the facts about influenza, including prevention and treatment. For this reason, public perception of influenza is extremely skewed, with people generally not taking the disease as seriously as they should given its severity. To investigate the inconsistencies between action and awareness of best available knowledge regarding influenza, this study conducted literature review and a survey of university students about their knowledge, perceptions, and action taken in relationship to influenza. Due to their dense living quarters, constant daily interactions, and mindset that they are "immune" to fairly common diseases like influenza, university students are a representative sample of urban populations. According to the World Health Organization (WHO), 54% of the world's population lived in cities as of 2014 (Urban population growth). Between 2015 and 2020, the global urban population is expected to grow 1.84% per year, 1.63% between 2020 and 2025, and 1.44% between 2025 and 2030 (Urban population growth). Similar projections estimate that by 2017, an overwhelming majority of the world's population, even in less developed countries, will be living in cities (Urban population growth). Results of this study suggest possible reasons for the large gap between best available knowledge and the perceptions and actions of individuals on the other hand. This may lead to better-oriented influenza education initiatives, more effective prevention and treatment plans, and generally raise excitement and awareness surrounding public health and scientific communication.
ContributorsGur-Arie, Rachel Ellen Haviva (Author) / Maienschein, Jane (Thesis director) / Laubichler, Manfred (Committee member) / Creath, Richard (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)
Created2014-12
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This project focuses on the history of how teratogens, or agents which have the potential to cause birth defects, have been understood and tested for teratogenic potential in the US over the twentieth century. Prior to this time, teratogen studies were primarily concerned with cataloguing defects rather than exploring possible

This project focuses on the history of how teratogens, or agents which have the potential to cause birth defects, have been understood and tested for teratogenic potential in the US over the twentieth century. Prior to this time, teratogen studies were primarily concerned with cataloguing defects rather than exploring possible causes. At the turn of the twentieth century, experimental teratogen studies with the aim of elucidating mechanisms commenced. However, these early studies did not aim to discover human pregnancy outcomes and ways to prevent them, but simply focused on the results of exposing pregnant mammals to various physical and chemical insults. My project documents the change in understanding of teratogens over the twentieth century, the advancement of testing methods, and the causes of these advancements. Through the Embryo Project at Arizona State University (embryo.asu.edu), a digital encyclopedia for topics related to embryology, development, and reproductive medicine, I wrote ten encyclopedic articles that focused on chemical mechanisms of various teratogens, testing limitations in animal models, and legal and regulatory responses to well-known teratogens. As an extension of my previous work, this project bridges the current gap in research and focuses on contextualizing major events in the field of teratology to determine how these events led to various shifts in the understanding of birth defects and their causes, and how those conceptual shifts led to the creation of teratological testing guidelines. Results show that throughout the twentieth century, there are four distinct shifts in the understanding of teratogens: the first being 1900-1945, the second being 1946-1960, the third being 1961-1980, and the fourth being 1981-2000.
ContributorsTantibanchachai, Chanapa (Author) / Maienschein, Jane (Thesis director) / Laubichler, Manfred (Committee member) / O'Neil, Erica (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)
Created2014-05
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Description
The field of biologic research is particularly concerned with understanding nature's complex dynamics. From deducing anatomical structures to studying behavioral patterns, evolutionary theory has developed greatly beyond the simple notions proposed by Charles Darwin. However, because it rarely considers the concept of complexity, modern evolutionary theory retains some descriptive weakness.

The field of biologic research is particularly concerned with understanding nature's complex dynamics. From deducing anatomical structures to studying behavioral patterns, evolutionary theory has developed greatly beyond the simple notions proposed by Charles Darwin. However, because it rarely considers the concept of complexity, modern evolutionary theory retains some descriptive weakness. This project represents an explorative approach for considering complexity and whether it plays an active role in the development of biotic systems. A novel theoretical framework, titled the Genesis Mechanism, was formulated reconsidering the major tenets of evolutionary theory to include complexity as a universal tendency. Within this framework, a phenomenon, referred to as "social transitioning," occurs between higher orders of complexity. Several potential properties of social transitions were proposed and analyzed in order to validate the theoretical concepts proposed within the Genesis Mechanism. The successful results obtained through this project's completion help demonstrate the scientific necessity for understanding complexity from a more fundamental, biologic standpoint.
ContributorsMcAuliffe, Jacob (Author) / Laubichler, Manfred (Thesis director) / Armendt, Brad (Committee member) / Barrett, The Honors College (Contributor)
Created2013-05
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Description
Studies in neocortical neurogenesis have experienced an explosive growth since the early 2000s, measured by the increasing number of publications each year. I examine here the influence of Arnold Kriegstein in the field using Topic Modeling, a set of algorithms that can be applied to a collection of texts to

Studies in neocortical neurogenesis have experienced an explosive growth since the early 2000s, measured by the increasing number of publications each year. I examine here the influence of Arnold Kriegstein in the field using Topic Modeling, a set of algorithms that can be applied to a collection of texts to elucidate the central themes of said collection. Using a Java-based software called MALLET, I obtained data for his corpus, and compared it to the texts of other researchers in the field. This latter collection, which I dub "General Corpus", was separated by year from 2000 to 2014. I found that Kriegstein's most frequently discussed topic concerned highly unique terms such as GABA, glutamate, and receptor, which did not appear in any of the primary topics of the General Corpus. This was in contrast to my initial hypothesis that Kriegstein's importance stemmed from his examination of different phenomena that constitute the broader aspect of neocortical neurogenesis. I predicted that the terms in Kriegstein's primary topic would appear many times throughout the topics of the General Corpus, but it was not so, aside from the common ones such as neurons, cortical, and development. Taken in tandem with NIH Reporter data, these results suggest that Kriegstein obtains a large amount of research funding because his studies concern unique topics when compared to others in the field. The implications of these findings are especially relevant in a world where funding is becoming increasingly difficult to come by.
ContributorsChhetri, Chandra Divyash (Author) / Laubichler, Manfred (Thesis director) / Maienschein, Jane (Committee member) / Aiello, Kenneth (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (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
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Description
Complex human controls is a topic of much interest in the fields of robotics, manufacturing, space exploration and many others. Even simple tasks that humans perform with ease can be extremely complicated when observed from a controls and complex systems perspective. One such simple task is that of a human

Complex human controls is a topic of much interest in the fields of robotics, manufacturing, space exploration and many others. Even simple tasks that humans perform with ease can be extremely complicated when observed from a controls and complex systems perspective. One such simple task is that of a human carrying and moving a coffee cup. Though this may be a mundane task for humans, when this task is modelled and analyzed, the system may be quite chaotic in nature. Understanding such systems is key to the development robots and autonomous systems that can perform these tasks themselves.

The coffee cup system can be simplified and modeled by a cart-and-pendulum system. Bazzi et al. and Maurice et al. present two different cart-and-pendulum systems to represent the coffee cup system [1],[2]. The purpose of this project was to build upon these systems and to gain a better understanding of the coffee cup system and to determine where chaos existed within the system. The honors thesis team first worked with their senior design group to develop a mathematical model for the cart-and-pendulum system based on the Bazzi and Maurice papers [1],[2]. This system was analyzed and then built upon by the honors thesis team to build a cart-and-two-pendulum model to represent the coffee cup system more accurately.

Analysis of the single pendulum model showed that there exists a low frequency region where the pendulum and the cart remain in phase with each other and a high frequency region where the cart and pendulum have a π phase difference between them. The transition point of the low and high frequency region is determined by the resonant frequency of the pendulum. The analysis of the two-pendulum system also confirmed this result and revealed that differences in length between the pendulum cause the pendulums to transition to the high frequency regions at separate frequency. The pendulums have different resonance frequencies and transition into the high frequency region based on their own resonant frequency. This causes a range of frequencies where the pendulums are out of phase from each other. After both pendulums have transitioned, they remain in phase with each other and out of phase from the cart.

However, if the length of the pendulum is decreased too much, the system starts to exhibit chaotic behavior. The short pendulum starts to act in a chaotic manner and the phase relationship between the pendulums and the carts is no longer maintained. Since the pendulum length represents the distance between the particle of coffee and the top of the cup, this implies that coffee near the top of the cup would cause the system to act chaotically. Further analysis would be needed to determine the reason why the length affects the system in this way.
ContributorsZindani, Abdul Rahman (Co-author) / Crane, Kari (Co-author) / Lai, Ying-Cheng (Thesis director) / Jiang, Junjie (Committee member) / Electrical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-12
Description
The brain is considered the crux of identity, yet human behavior may be influenced by bacteria in gut microbiomes. Honeybees can exchange bacteria through their many social behaviors, making their microbiomes, and the effect they have on honeybee behavior, of interest. There is recent evidence suggesting the presence of bacteria

The brain is considered the crux of identity, yet human behavior may be influenced by bacteria in gut microbiomes. Honeybees can exchange bacteria through their many social behaviors, making their microbiomes, and the effect they have on honeybee behavior, of interest. There is recent evidence suggesting the presence of bacteria existing in human brains, which can be investigated in honeybee brains due to their well-documented structure. The purpose of this study is to establish if lipopolysaccharide—a molecule on bacteria membranes—is present in the honeybee brain and if it colocalizes with vitellogenin—an immune mediator. Additionally, this study also seeks to establish the efficacy of embedding tissue samples in resin and performing immunohistochemistry for vitellogenin and lipopolysaccharide on sections.
ContributorsStrange, Amalie Sofie (Co-author) / Strange, Amalie (Co-author) / Amdam, Gro (Thesis director) / Baluch, Page (Committee member) / School of International Letters and Cultures (Contributor) / School of Life Sciences (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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
Description
As a biology major, many of my classes have included studying the fundamentals of genetics or investigating the way genetics influence heritability of certain diseases. When I began taking upper-division psychology courses, the genetic factors of psychological disorders became an important part of the material. I was exposed to a

As a biology major, many of my classes have included studying the fundamentals of genetics or investigating the way genetics influence heritability of certain diseases. When I began taking upper-division psychology courses, the genetic factors of psychological disorders became an important part of the material. I was exposed to a new idea: that genes were equally important in studying somatic diseases as they were to psychological disorders. As important as genetics are to psychology, they are not part of the required courses for the major; I found many of my peers in psychology courses did not have a grasp on genetic fundamentals in the same way biology majors did. This was a disconnect that I also found in my own life outside the classroom. Growing up, my mother consistently reminded me to limit my carbs and watch my sugars. Diabetes was very prevalent in my family and I was also at risk. I was repeatedly reminded of my own genes and the risk I faced in having this biological disorder. However, my friend whose father was an alcoholic did not warn her in the same way. While she did know of her father's history, she was not warned of the potential for her to become an alcoholic. While my behavior was altered due to my mother's warning and my own knowledge of the genetic risk of diabetes, I wondered if other people at genetic risk of psychological disorders also altered their behavior. Through my thesis, I hope to answer if students have the same perceived genetic knowledge of psychological diseases as they do for biological ones. In my experience, it is not as well known that psychological disorders have genetic factors. For example, alcohol is commonly used by college students. Alcohol use disorder is present in 16.2% of college aged students and "40-60% of the variance of risk explained by genetic influences." (DSM V, 2013) Compare this to diabetes that has "several common genetic variants that account for about 10% of the total genetic effects," but is much more openly discussed even though it is less genetically linked. (McVay, 2015)This stems from the stigma/taboo surrounding many psychological disorders. If students do know that psychological disorder are genetically influenced, I expect their knowledge to be skewed or inaccurate. As part of a survey, I hope to see how strong they believe the genetic risk of certain diseases are as well as where they gained this knowledge. I hypothesize that only students with a background in psychology will be able to correctly assign the genetic risk of the four presented diseases. Completing this thesis will require in-depth study of the genetic factors, an understanding of the way each disease is perceived and understood by the general population, and a statistical analysis of the survey responses. If the survey data turns out as I expect where students do not have a strong grasp of diseases that could potentially influence their own health, I hope to find a way to educate students on biological and psychological diseases, their genetic risk, and how to speak openly about them.
ContributorsParasher, Nisha (Author) / Amdam, Gro (Thesis director) / Toft, Carolyn Cavaugh (Committee member) / Ostwald, Madeleine (Committee member) / Department of Psychology (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05