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My work focuses on the themes of grief, closure, and celebration of life. Life is a catalyst both celebration and grief. Feeling joy when a life is introduced is as common as feeling pain when a life is lost. When I lost my maternal grandmother nearly a year ago, I

My work focuses on the themes of grief, closure, and celebration of life. Life is a catalyst both celebration and grief. Feeling joy when a life is introduced is as common as feeling pain when a life is lost. When I lost my maternal grandmother nearly a year ago, I felt grief accompanied with guilt. I never got a chance to say goodbye since we lived so far apart, her residing in the Philippines and me residing in the United States. In order to get rid of these negative emotions, I sought closure. I attended her funeral, and now I want to celebrate her life through my artwork.
My work comes in two parts: an illustration book titled The Butanding and an illustration exhibition. The book will be published through lulu.com and made available to the public. The exhibition component will be held from March 2nd to March 6th in Gallery 100 as part of my senior exhibition Post Pre-Production with six other colleagues in the School of Art. The illustration book is a narration of a little girl and her growing friendship with a whale shark. The overarching theme of the creative project is closure with the passing away of loved ones.
The Butanding is a narrative illustration book about a young girl befriending the local menace of her village, the whale shark. Similar to my own experience, the main subject—the young girl—of my narrative is shown suffering from grief and guilt over her grandmother’s death. My work illustrates a progression of the young girl’s emotional state as she goes on a journey with the whale shark or locally known in the Philippines as the “butanding”. It provides the scenario of a grieving individual who gets the chance to reconnect with a deceased loved one and rebuild relationships that were lost.
ContributorsSydiongco, Hannah Gloria (Author) / Solis, Forrest (Thesis director) / Drum, Meredith (Committee member) / Barrett, The Honors College (Contributor) / School of Art (Contributor)
Created2015-05
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Malaria is a disease that has plagued human populations throughout history. Malaria is cause by the parasite Plasmodium, which uses mosquitoes as a vector for transfer. Current methods for controlling malaria include issuing bed nets to citizens, spraying home with insecticides, and reactive medical care. However, using Clustered Regularly Interspaced

Malaria is a disease that has plagued human populations throughout history. Malaria is cause by the parasite Plasmodium, which uses mosquitoes as a vector for transfer. Current methods for controlling malaria include issuing bed nets to citizens, spraying home with insecticides, and reactive medical care. However, using Clustered Regularly Interspaced Short Palindromic repeats (CRISPR) in conjunction with the Cas9 protein found in bacteria, the genomes of mosquitoes can be edited to remove the ability of mosquitoes to host Plasmodium or to create sex bias in which the birth rate of males is increased so as to make reproduction near impossible. Using CRISPR, this genome edit can be ‘driven’ through a population by increasing the likelihood of that gene being passed onto subsequent generations until the entire population possesses that gene; a gene drive can theoretically be used to eliminate malaria around the world. This paper identifies uncertainties concerning scientific, environmental, governance, economic ,and social aspects of researching and implementing gene drives and makes recommendations concerning these areas for the emerging technology of gene drives concerning the eradication of malaria using Sub-Saharan Africa as a case study
ContributorsSacco, Elena Maria (Author) / Frow, Emma (Thesis director) / Maynard, Andrew (Committee member) / School of Politics and Global Studies (Contributor) / School of International Letters and Cultures (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description

Within the last decade, there has been a lot of hype surrounding the potential medical applications of artificial intelligence (AI) and machine learning (ML) technologies. During the same timespan, big tech companies such as Microsoft, Apple, Amazon, and Google have entered the healthcare market as developers of health-based AI and

Within the last decade, there has been a lot of hype surrounding the potential medical applications of artificial intelligence (AI) and machine learning (ML) technologies. During the same timespan, big tech companies such as Microsoft, Apple, Amazon, and Google have entered the healthcare market as developers of health-based AI and ML technologies. This project aims to create a comprehensive map of the existing health-AI market landscape for the standard biotech reader and to provide a critical commentary on the existing market structure.

ContributorsWehelie, Sumayah A (Author) / Frow, Emma (Thesis director) / Maynard, Andrew (Committee member) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description
Some say that science fiction becomes science. If science fiction eventually becomes science and technology, then US-American science and technology surrounding robots are rooted in white supremacy. Scholarship has previously highlighted the way that films and stories about robots are exclusionary towards Black people and persons of color. These texts,

Some say that science fiction becomes science. If science fiction eventually becomes science and technology, then US-American science and technology surrounding robots are rooted in white supremacy. Scholarship has previously highlighted the way that films and stories about robots are exclusionary towards Black people and persons of color. These texts, while aptly making the connection between race, Blackness, and technology, do not sufficiently address the embedded design of anti-Blackness in cultural artifacts in the early twentieth century and the anti-Black logics that, to this day, continue to inform how stories about robots are told. Further, these analyses do not consider the connection between cultural artifacts and the material development of emerging technologies; how these embedded racist narratives drive and shape how the technologies are then constructed. In this dissertation, I aim to link how anti-Black scientific popular culture has informed academic scholarship and engineering related to robots in the United States. Stories are an inherently spatial project. Stories about robots are a spatial project intended to create “Cartographies of Subordination.” I contend from 1922 to 1942, US-American robots were mapped into and onto the world; in just twenty short years, I argue a Cartography of Subordination was established. I apply a spatial lens to critique the impact of embedding stories about robots with anti-Blackness. These stories would develop into narratives with material consequences and maintain lasting ties and allegiance to a world invested in white supremacy. I outline how popular culture and stories are transfigured into narratives that have a direct impact on how futures are built. I expose the loop between popular culture and scholarship to unmask how research and development in robotics are based on white-informed futures. My dissertation makes an original geographical contribution to the fields of Human and Cultural Geography by asserting that narrative and popular culture about robots serves to remake Cartographies of Subordination in both science fiction and science and technology broadly. If science fiction has the potential to become real scientific outcomes, I connect culture, geography, and legacies of power in an otherwise overlooked space.
ContributorsMayberry, Nicole K. (Author) / Maynard, Andrew (Thesis advisor) / Shabazz, Rashad (Thesis advisor) / Ore, Ersula (Committee member) / Richter, Jennifer (Committee member) / Arizona State University (Publisher)
Created2022
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Description
Artificial Intelligence (AI) is a rapidly advancing field with the potential to impact every aspect of society, including the inventive practices of science and technology. The creation of new ideas, devices, or methods, commonly known as inventions, is typically viewed as a process of combining existing knowledge. To understand how

Artificial Intelligence (AI) is a rapidly advancing field with the potential to impact every aspect of society, including the inventive practices of science and technology. The creation of new ideas, devices, or methods, commonly known as inventions, is typically viewed as a process of combining existing knowledge. To understand how AI can transform scientific and technological inventions, it is essential to comprehend how such combinatorial inventions have emerged in the development of AI.This dissertation aims to investigate three aspects of combinatorial inventions in AI using data-driven and network analysis methods. Firstly, how knowledge is combined to generate new scientific publications in AI; secondly, how technical com- ponents are combined to create new AI patents; and thirdly, how organizations cre- ate new AI inventions by integrating knowledge within organizational and industrial boundaries. Using an AI publication dataset of nearly 300,000 AI publications and an AI patent dataset of almost 260,000 AI patents granted by the United States Patent and Trademark Office (USPTO), this study found that scientific research related to AI is predominantly driven by combining existing knowledge in highly conventional ways, which also results in the most impactful publications. Similarly, incremental improvements and refinements that rely on existing knowledge rather than radically new ideas are the primary driver of AI patenting. Nonetheless, AI patents combin- ing new components tend to disrupt citation networks and hence future inventive practices more than those that involve only existing components. To examine AI organizations’ inventive activities, an analytical framework called the Combinatorial Exploitation and Exploration (CEE) framework was developed to measure how much an organization accesses and discovers knowledge while working within organizational and industrial boundaries. With a dataset of nearly 500 AI organizations that have continuously contributed to AI technologies, the research shows that AI organizations favor exploitative over exploratory inventions. However, local exploitation tends to peak within the first five years and remain stable, while exploratory inventions grow gradually over time. Overall, this dissertation offers empirical evidence regarding how inventions in AI have emerged and provides insights into how combinatorial characteristics relate to AI inventions’ quality. Additionally, the study offers tools to assess inventive outcomes and competence.
ContributorsWang, Jieshu (Author) / Maynard, Andrew (Thesis advisor) / Lobo, Jose (Committee member) / Michael, Katina (Committee member) / Motsch, Sebastien (Committee member) / Arizona State University (Publisher)
Created2023
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Description
ABSTRACT Despite a recognized need for corporations to take greater social responsibility, such responsibility is often lacking in the decisions of corporate America. This lack of attention to social responsibility has numerous implications, not least for the US workforce. Additionally, the workforce itself has a potential role to play

ABSTRACT Despite a recognized need for corporations to take greater social responsibility, such responsibility is often lacking in the decisions of corporate America. This lack of attention to social responsibility has numerous implications, not least for the US workforce. Additionally, the workforce itself has a potential role to play in implementing social responsibility. Workers are partly responsible for actions causing negative effects; however, organizations tend to avoid addressing the negative effects as a form of organized irresponsibility. This dissertation examines decisions and actions related to the worker, their work roles, and within their organization. It aims to understand to what extent workers can function as change agents in aligning their organizations with social responsibility as it relates to organizational missions. The methodological approach used to gather data for this dissertation is Socio-Technical Integration Research (STIR), and the framework used to analyze the data is Midstream Modulation. The dissertation advances the STIR methodology in several respects as a result of studying technology startups with a focus towards organizational effects. These advances include measuring how modulations within individual workers’ decisions have outcomes at the organizational level or across multiple departments. Examples of such “organizational modulations” can be seen in two of the three studies at the core of this dissertation. Additionally, I demonstrate that multiple reflexive modulations can be involved in modulation sequences and that modulation sequences can be nested in relation to one another. Furthermore, I present the Collaborative Change Agent Model, which may possibly be utilized to further discuss decisions and embed concepts such as social responsibility and Responsible Innovation in an individual worker’s decision-making process.
ContributorsZaveri, Shivam Rajeshbhai (Author) / Fisher, Erik (Thesis advisor) / Nadesan, Majia (Committee member) / Maynard, Andrew (Committee member) / Arizona State University (Publisher)
Created2023
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Description
Crises at Teton Dam in 1976, Roosevelt Dam in 1980, Tempe Town Lake Dam in 2010, Oroville Dam in 2017, and the Edenville and Sanford Dams in 2020 prove the substantial and continuing threats to communities posed by major dams. Sociotechnical systems of dams encompass both social or governance characteristics

Crises at Teton Dam in 1976, Roosevelt Dam in 1980, Tempe Town Lake Dam in 2010, Oroville Dam in 2017, and the Edenville and Sanford Dams in 2020 prove the substantial and continuing threats to communities posed by major dams. Sociotechnical systems of dams encompass both social or governance characteristics as well as the technical or architectural characteristics. To reduce or overcome chances of failure, experts traditionally focus on making the architectural characteristics of dams safe from potential modes of failure. However, governance characteristics such as laws, building codes, and emergency actions plans also affect the ability of systems of dams that include downstream communities to sustainably adapt to crises. Increasingly, emerging threats such as climate change, earthquakes, terrorism, cyberattacks, or wildfires worsen known modes of failure such as overtopping.Considering these emerging threats, my research assesses whether the architectural and governance characteristics of the aging population of systems of dams in the United States can sustainably adapt to challenges posed by emerging threats. First, by analyzing architectural characteristics of dams, my research provides a useful definition of infrastructures of dams. Next, to assess the governance characteristics of dams, I review institutional documents to heuristically outline seven sociotechnical imaginaries and assess whether an eighth based on resilience is appearing. Further, by analyzing interview transcripts and professional conference presentations, and by conducting case studies, my research reveals ways that experts and stakeholders assess the safety and resilience of systems of dams. The combined findings of these studies suggest that experts and stakeholders are not sufficiently informed about or focused upon important aspects of the resilience of dams. Therefore, they may not be able to sustainably adapt to crises caused or worsened by emerging threats such as climate change, earthquakes, terrorism, cyberattacks, or wildfires. I offer explanations of why this is so and formulate recommendations.
ContributorsDwyer, Kevin Thomas (Author) / Fisher, Erik (Thesis advisor) / Maynard, Andrew (Committee member) / Allenby, Braden (Committee member) / Arizona State University (Publisher)
Created2022
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Description
Engineered nanomaterials (ENMs) are added to numerous consumer products to enhance their effectiveness, whether it be for environmental remediation, mechanical properties, or as dietary supplements. Uses of ENMs include adding to enhance products, carbon for strength or dielectric properties, silver for antimicrobial properties, zinc oxide for UV sun-blocking properties, titanium

Engineered nanomaterials (ENMs) are added to numerous consumer products to enhance their effectiveness, whether it be for environmental remediation, mechanical properties, or as dietary supplements. Uses of ENMs include adding to enhance products, carbon for strength or dielectric properties, silver for antimicrobial properties, zinc oxide for UV sun-blocking properties, titanium dioxide for photocatalysis, or silica for desiccant properties. However, concerns arise from ENM functional properties that can impact the environment and a lack of regulation regarding ENMs leads to potential public exposure to ENMs and results in ill-informed public or manufacturer perceptions of ENMs. My dissertation evaluates the environmental, human health, and societal impacts of using ENMs, with a focus on ionic silver and nanosilver, in consumer and industrial products. Reproducible experiments served as functional assays to assess ENM distributions among various environmental matrices. Functional assay results were visualized using radar plots and aid in a framework to estimate likely ENM disposition in the environment. To assess beneficial uses of ENMs, bromide ion removal from drinking waters to limit disinfection by-product formation was studied. Silver-enabled graphene oxide materials were capable of removing bromide from water, and exhibited less competition from background solutes (e.g. natural organic matter) when compared against solely ionic silver addition to water for bromide removal. To assess complex interactions of ENMs with the microbiome, batch experiments were performed using fecal samples spiked with ionic silver or commercial dietary silver nanoparticles. Dietary nanosilver and ionic silver exposures to the fecal microbiome for 24 hours reduce short chain fatty acid (SCFA) production and changes the relative abundance of the microbiota. To understand the social perceptions of ENMS, statistically rigorous surveys were conducted to assess related perceptions related to the use of ENMs in drinking water treatment devices the general public and, separately, industrial manufacturers. These stakeholders are influenced by costs and efficiency of the technologies, consumer concerns of the safety of technologies, and environmental health and safety of the technologies. This dissertation represents novel research that took an interdisciplinary approach, spanning from wet-lab engineering bench scale testing to social science survey assessments to better understand the environmental, human health, and societal impacts of using ENMs such as nanosilver and ionic silver in industrial processes and consumer products.
ContributorsKidd, Justin (Author) / Westerhoff, Paul (Thesis advisor) / Krajmalnik-Brown, Rosa (Committee member) / Perreault, Francois (Committee member) / Maynard, Andrew (Committee member) / Arizona State University (Publisher)
Created2020
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Description
Threatcasting is a foresight methodology that examines the worst of potential future changes by imagining and crafting a fictional (but very plausible) story of a person, in a detailed setting, experiencing a threat. In this dissertation, I investigate the processes and techniques of threatcasting, focused primarily on the post-analysis phase,

Threatcasting is a foresight methodology that examines the worst of potential future changes by imagining and crafting a fictional (but very plausible) story of a person, in a detailed setting, experiencing a threat. In this dissertation, I investigate the processes and techniques of threatcasting, focused primarily on the post-analysis phase, and demonstrate it as an open methodology that can embrace varied ways to analyze raw data and seek conclusions. I incorporate best practices of narrative and thematic analysis, qualitative analysis, grounded theory, and hypothesis-driven theories of inquiry. I use interviews from futurists trained on threatcasting ways of thinking and compare two case studies - one using a grounded theory approach on the future of weapons of mass destruction and cyberspace and the other using a hypothesis-driven approach on the future of extremism - to investigate the efficacy of different theoretical approaches to analysis. I introduce definitions of novelty and ways to assess how a novel finding may have more impact on the future than it appears at first glance. Often, this impact comes more from what is not present in threat scenarios than what is included. Finally, I illustrate how threatcasting, as a practice, is a valuable contribution to those in a position to be responsible architects of a better future.
ContributorsBrown, Jason C. (Author) / Maynard, Andrew (Thesis advisor) / Johnson, Brian David (Committee member) / Robert, Jason (Committee member) / Arizona State University (Publisher)
Created2021
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Description
Regional governments provide access to safety, health, and welfare through consistently good services. This analysis examines the underlying motives and mechanisms for achieving these goals. A current trend in governance is to outsource technology software and development to private sector efficiency. To achieve this claim and in attempt to save

Regional governments provide access to safety, health, and welfare through consistently good services. This analysis examines the underlying motives and mechanisms for achieving these goals. A current trend in governance is to outsource technology software and development to private sector efficiency. To achieve this claim and in attempt to save money the physical employee workforce is being replaced by technology. The government interaction in this philosophy is not being met with the same diversity and flexibility of the private-sector. This missed opportunity is the result of not accompanying software or governance practices with the principles of entrepreneurship including performance measures, marketing, and collaborative process design. The linkage of these three key principles provides the potential to reinvent government communication and interaction leading to successful endeavors for the public it serves and employees it aims to recruit and retain. This is an applied research thesis with foundation in a working body of regional government. The Maricopa County Planning and Development Department (MCPPD) provided the resources and project objective to discover the root causes of e-Governance challenges. The framing was constructed under recent theoretical trends of New Public Management Theory and Joined-Up Governance approaches to government administration. Extensive data collection was then performed to inform a remedy to these contemporary e-Governance issues. The premise of this thesis is to understand theory and practice of
e-Governance and apply methods to measure and propel that perspective to an operationally adaptable framework applicable to regional government.
ContributorsSchwartz, Michael (Author) / King, David (Thesis director) / Maynard, Andrew (Committee member) / School of Geographical Sciences and Urban Planning (Contributor, Contributor, Contributor) / School of Sustainability (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05