Matching Items (10)
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- All Subjects: Science history
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- Creators: Brian, Jennifer
Description
Today in the U.S. the narrative of the “bad drug” has become quite a familiar account. There is an ever-growing collection of pharmaceutical products whose safety and efficacy has been debunked through the scandalous exposure of violations of integrity on the part of researchers, lapses in procedure and judgment on the part of the FDA, and reckless profiteering on the part of big pharma. However, a closer look reveals that the oversights and loopholes depicted in the bad drug narrative are not incidental failures of an otherwise intact, effective system. Rather, bad drugs, like good drugs, are a product of normal operations of the system; the same processes, actors, and influences manifest in both. The aim of this project is to shed light on these processes, actors, and influences at work in drug normalization by interrogating the peculiar case of the drug Lupron. Lupron exhibits all of the controversial features of the “bad drug” narrative but has remained an endorsed and embraced staple of the infertility industry. This contradiction situates Lupron to expose a number of the contingencies on which drug normalization rests more generally. In order to put forth an explanatory model for drug normalization, three such contingencies are described in detail for the case at hand: the nature of drug regulation, the structures and value that underpin the medical categorization of diseases, and the inextricability of post-medicine from the forces of industry. These contingencies provide some explanatory power for understanding not only the retention of Lupron but the ways in which all drugs are produced, validated, and perpetuated in a society.
ContributorsStevenson, Christine, M.S (Author) / Brian, Jennifer (Thesis advisor) / Hurlbut, Benjamin (Thesis advisor) / Maienschein, Jane (Committee member) / Arizona State University (Publisher)
Created2015
Description
This is a project about medicine and the history of a condition called premenstrual syndrome (PMS), its “discovery” and conceptual development at both scientific and socio-cultural levels. Since it was first mentioned in medical literature, PMS has been explored empirically as a medical condition and conceptually as non-somatic cultural phenomenon. Many attempts have been made to produce scientific, empirical evidence to bolster the theory of PMS as a biological disease. Some non-medical perspectives argue that invoking biology as the cause of PMS medicalizes a natural function of the female reproductive system and shallowly interrogates what is actually a complex bio-psycho-social phenomenon. This thesis questions both sides of this debate in order to reveal how criteria for PMS were categorized despite disagreement surrounding its etiology.
This thesis illustrates how the concept of PMS developed and was informed by the discovery of hormones and the resulting field of endocrinology that provided a framework for conceptualizing PMS. It displays how the development of the medical diagnostic category of PMS developed in tandem with the emergence of the field of endocrinology and was legitimized and effectively medicalized through this connection. The diagnosis of PMS became established though the diagnostic techniques like questionnaires in spite of persistent disagreement over its definition. The thesis shows how these medical concepts and practices legitimated the category of PMS, and how it has become ubiquitous in contemporary culture.
This thesis illustrates how the concept of PMS developed and was informed by the discovery of hormones and the resulting field of endocrinology that provided a framework for conceptualizing PMS. It displays how the development of the medical diagnostic category of PMS developed in tandem with the emergence of the field of endocrinology and was legitimized and effectively medicalized through this connection. The diagnosis of PMS became established though the diagnostic techniques like questionnaires in spite of persistent disagreement over its definition. The thesis shows how these medical concepts and practices legitimated the category of PMS, and how it has become ubiquitous in contemporary culture.
ContributorsZietal, Bianca (Author) / Hurlbut, James (Thesis advisor) / Robert, Jason (Committee member) / Brian, Jennifer (Committee member) / Arizona State University (Publisher)
Created2016
Description
Systems biology studies complex biological systems. It is an interdisciplinary field, with biologists working with non-biologists such as computer scientists, engineers, chemists, and mathematicians to address research problems applying systems’ perspectives. How these different researchers and their disciplines differently contributed to the advancement of this field over time is a question worth examining. Did systems biology become a systems-oriented science or a biology-oriented science from 1992 to 2013?
This project utilized computational tools to analyze large data sets and interpreted the results from historical and philosophical perspectives. Tools deployed were derived from scientometrics, corpus linguistics, text-based analysis, network analysis, and GIS analysis to analyze more than 9000 articles (metadata and text) on systems biology. The application of these tools to a HPS project represents a novel approach.
The dissertation shows that systems biology has transitioned from a more mathematical, computational, and engineering-oriented discipline focusing on modeling to a more biology-oriented discipline that uses modeling as a means to address real biological problems. Also, the results show that bioengineering and medical research has increased within systems biology. This is reflected in the increase of the centrality of biology-related concepts such as cancer, over time. The dissertation also compares the development of systems biology in China with some other parts of the world, and reveals regional differences, such as a unique trajectory of systems biology in China related to a focus on traditional Chinese medicine.
This dissertation adds to the historiography of modern biology where few studies have focused on systems biology compared with the history of molecular biology and evolutionary biology.
This project utilized computational tools to analyze large data sets and interpreted the results from historical and philosophical perspectives. Tools deployed were derived from scientometrics, corpus linguistics, text-based analysis, network analysis, and GIS analysis to analyze more than 9000 articles (metadata and text) on systems biology. The application of these tools to a HPS project represents a novel approach.
The dissertation shows that systems biology has transitioned from a more mathematical, computational, and engineering-oriented discipline focusing on modeling to a more biology-oriented discipline that uses modeling as a means to address real biological problems. Also, the results show that bioengineering and medical research has increased within systems biology. This is reflected in the increase of the centrality of biology-related concepts such as cancer, over time. The dissertation also compares the development of systems biology in China with some other parts of the world, and reveals regional differences, such as a unique trajectory of systems biology in China related to a focus on traditional Chinese medicine.
This dissertation adds to the historiography of modern biology where few studies have focused on systems biology compared with the history of molecular biology and evolutionary biology.
ContributorsZou, Yawen (Author) / Laubichler, Manfred (Thesis advisor) / Maienschein, Jane (Thesis advisor) / Creath, Richard (Committee member) / Ellison, Karin (Committee member) / Newfeld, Stuart (Committee member) / Arizona State University (Publisher)
Created2016
Description
This dissertation begins to lay out a small slice of the history of morphological research, and how it has changed, from the late 19th through the close of the 20th century. Investigators using different methods, addressing different questions, holding different assumptions, and coming from different research fields have pursued morphological research programs, i.e. research programs that explore the process of changing form. Subsequently, the way in which investigators have pursued and understood morphology has witnessed significant changes from the 19th century to modern day research. In order to trace this shifting history of morphology, I have selected a particular organ, teeth, and traced a tendril of research on the dentition beginning in the late 19th century and ending at the year 2000. But even focusing on teeth would be impossible; the scope of research on this organ is far too vast. Instead, I narrow this dissertation to investigation of research on a particular problem: explaining mammalian tooth morphology. How researchers have investigated mammalian tooth morphology and what counts as an explanation changed dramatically during this period.
ContributorsMacCord, Katherine (Author) / Maienschein, Jane (Thesis advisor) / Laubichler, Manfred (Thesis advisor) / Laplane, Lucie (Committee member) / Kimbel, William (Committee member) / Creath, Richard (Committee member) / Hurlbut, Benjamin (Committee member) / Arizona State University (Publisher)
Created2017
Description
Writing speculative fiction is a valuable method for exploring the potential societal transformations elicited by advances in science and technology. The aim of this project is to use speculative fiction to explore the potential consequences of precision medicine for individuals’ daily lives. Precision medicine is a vision of the future in which medicine is about predicting, and ultimately preventing disease before symptoms arise. The idea is that identification of all the factors that influence health and contribute to disease development will translate to better and less expensive healthcare and empower individuals to take responsibility for maintaining their own health and wellness. That future, as envisioned by the leaders of the Human Genome Project, the Institute for Systems Biology, and the Obama administration’s Precision Medicine Initiative, is assumed to be a shared future, one that everyone desires and that is self-evidently “better” than the present. The aim of writing speculative fiction about a “precision medicine” future is to challenge that assumption, to make clear the values underpinning that vision of precision medicine, and to leave open the question of what other possible futures could be imagined instead.
ContributorsVenkatraman, Richa (Author) / Brian, Jennifer (Thesis advisor) / Maienschein, Jane (Thesis advisor) / Hurlbut, James (Committee member) / Arizona State University (Publisher)
Created2022
What is a “Good Economy”? Analysis of Economic Metrics & Their Political Impact on the United States
Description
The goal of this research paper is to analyze how we define economic success and how that affects large corporations and consumers. This paper asks the questions: What do we define as a good economy? What metrics are currently utilized? And how do perceptions of a good economy influence politics? Overall, the research seeks to identify common economic and financial fallacies held by the average citizen and offer alternative methods of how socio-economic information is presented to the consumers. Consumers play a major role in the market, and the information they receive has a considerable impact on their behaviors. Determining why the present economic analysis is used is the first step in finding ways to improve the system. Observing past political and economic trends and relating them to current issues is necessary for finding future solutions.
ContributorsTosca, Carlos (Author) / Brian, Jennifer (Thesis director) / Sadusky, Brian (Committee member) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
This project looks at the impact that the internet has had on society, and how it has shaped the way that digitally native generations live their lives. More specifically, this thesis showcases what it means for younger generations to be digitally native and how engaging with technology while growing up affects the way that these individuals experience contemporary adolescence. Generation X is said to be the last group of people to experience life before the spread of the personal computer and internet access. Newer generations, such as Generation Z, have grown up having constant and easy access to the internet, all of the information it encompasses, and its additional functions. This access has shaped much of the generation as individuals as well as society as a whole. It can be argued that the human experience has been fundamentally different for those born after the creation of the internet and the rapid increase in accessible technology that followed. Through an interview with a participant from Generation X, I will showcase the transformative role that the internet and technology has played in major life events for a digitally native individual compared to that of individuals from older generations. As a member of Generation Z, I will compare my personal narrative regarding ten different life events occurring between the ages of five to 25 that I feel are common and impactful to the narrative a of non-digitally native individual. I expect to see that the internet and the creation of cyber culture that we see through social media has enhanced many of the defining events for younger generations growing up in some positive ways as well as some negative ways. Thus, growing up only knowing the internet and its purposes has altered the way that our experiences play out as we age, for good and for bad.
ContributorsTomchak, Marissa Janine (Author) / Ingram-Waters, Mary (Thesis director) / Brian, Jennifer (Committee member) / Department of Psychology (Contributor) / School of Politics and Global Studies (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Artistic expression can be made more accessible through the use of technological interfaces such as auditory analysis, generative artificial intelligence models, and simplification of complicated systems, providing a way for human driven creativity to serve as an input that allow users to creatively express themselves. Studies and testing were done with industry standard performance technology and protocols to create an accessible interface for creative expression. Artificial intelligence models were created to generate art based on simple text inputs. Users were then invited to display their creativity using the software, and a comprehensive performance showcased the potential of the system for artistic expression.
ContributorsPardhe, Joshua (Author) / Lim, Kang Yi (Co-author) / Meuth, Ryan (Thesis director) / Brian, Jennifer (Committee member) / Hermann, Kristen (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Watts College of Public Service & Community Solut (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-05
Description
Artistic expression can be made more accessible through the use of technological interfaces such as auditory analysis, generative artificial intelligence models, and simplification of complicated systems, providing a way for human driven creativity to serve as an input that allow users to creatively express themselves. Studies and testing were done with industry standard performance technology and protocols to create an accessible interface for creative expression. Artificial intelligence models were created to generate art based on simple text inputs. Users were then invited to display their creativity using the software, and a comprehensive performance showcased the potential of the system for artistic expression.
ContributorsLim, Kang Yi (Author) / Pardhe, Joshua (Co-author) / Meuth, Ryan (Thesis director) / Brian, Jennifer (Committee member) / Hermann, Kristen (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-05
Description
Getting clear about what behavioral scientists mean when they invoke content presupposing concepts, like information, is necessary for understanding how humanity’s own behavioral capacities do or do not relate to those of non-human animals. Yet, producing a general naturalistic definition for representational content has proven notoriously difficult. Some have argued that Claude Shannon’s formal, mathematically defined notion of information is the proper starting point for building a biological theory of content. Others have sought to define content presupposing concepts in terms of the historical selection processes that drive evolution. However, neither approach has produced definitions that capture the way successful researchers in the behavioral sciences use content-presupposing concepts. In this dissertation, I examine an ethological tradition of insect navigation research that has consistently ascribed content to insects. To clarify the meaning of such ascriptions, I analyze the practices scientists use to justify new attributions of content and the way new attributions of content guide scientists’ future research activities. In chapter 1, I examine a series of insect navigation experiments performed in 2006–2007 that led to a novel ascription of content. I argue that researchers ascribe content to insects’ navigation behaviors when those behaviors reliably accomplish a difficult goal-directed function. I also argue that ascriptions of content help researchers achieve their epistemic aims by guiding hypothesis formation and aiding comparative theorizing.
In chapter 2, I trace the history of the experimental strategy analyzed above
back to the work of Karl von Frisch in the early 20th century. I argue that von Frisch has a complicated and understudied relationship to the discipline of ethology. I support that argument by highlighting features of von Frisch’s research that both comported with and differed from the program of classical ethology.
In chapter 3, I examine the cognitive map debate in insects. I argue that the debate stems from competing research groups’ endorsement of different norms for justifying claims about the dynamics of representational contents. I then situate these different norms historically to show how the cognitive map debate is a continuation of longstanding divisions within the history of animal behavior research.
ContributorsDhein, Kelle (Author) / Sterner, Beckett (Thesis advisor) / Maienschein, Jane (Committee member) / Allen, Colin (Committee member) / Pratt, Stephen (Committee member) / Laubichler, Manfred (Committee member) / Arizona State University (Publisher)
Created2021