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Description
"Romantic Cyber-Engagement" offers a new type of dissertation organized around three projects that combine the core values of the Digital Humanities with the hypertext tradition of scholarly pursuits in the field of Romanticism. The first of the three Digital Humanities contributions is to the profession. "A Resource for the Future:

"Romantic Cyber-Engagement" offers a new type of dissertation organized around three projects that combine the core values of the Digital Humanities with the hypertext tradition of scholarly pursuits in the field of Romanticism. The first of the three Digital Humanities contributions is to the profession. "A Resource for the Future: The ICR Template and Template Guide" articulates a template for the construction and operation of an advanced conference in Romantic studies. This part of the project includes the conference web site template and guide, which is publicly available to all interested organizations; the template guide includes instructions, tutorials, and advice to govern modification of the template for easier adaptation for future conferences. The second project, "Collaborative Literature Projects in the Digital Age: The Frankenstein Project" is a functional pedagogical example of one way to incorporate Digital Humanities praxis as an interactive part of a college course. This part of the dissertation explains the "Frankenstein Project," a web site that I created for an undergraduate critical theory course where the students contributed various critical approaches for sections of the novel Frankenstein; or, The Modern Prometheus. The final project, "'[W]hat they half-create, / And what perceive': The Creation of a Hypertext Scholarly Edition of 'Tintern Abbey;'" is a critical approaches section in which I created an interactive web site that focused on the primary work, "Lines Written a Few Miles above Tintern Abbey: On Revisiting the Banks of the Wye during a Tour, July 13, 1798." This advanced, multimodal site allows viewers to examine various critical approaches to each section of the primary work, and the viewer/reader can interactively engage the text in dialogue by contributing their own interpretation or critical approach. In addition to the three products and analysis generated from this dissertation, the project as a whole offers an initial Digital Humanities model for future dissertations in discipline of English Literature.
ContributorsMatsunaga, Bruce (Author) / Lussier, Mark S (Thesis advisor) / Broglio, Ronald (Committee member) / Wright, Johnson K (Committee member) / Arizona State University (Publisher)
Created2013
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Description
Understanding changes and trends in biomedical knowledge is crucial for individuals, groups, and institutions as biomedicine improves people’s lives, supports national economies, and facilitates innovation. However, as knowledge changes what evidence illustrates knowledge changes? In the case of microbiome, a multi-dimensional concept from biomedicine, there are significant increases in publications,

Understanding changes and trends in biomedical knowledge is crucial for individuals, groups, and institutions as biomedicine improves people’s lives, supports national economies, and facilitates innovation. However, as knowledge changes what evidence illustrates knowledge changes? In the case of microbiome, a multi-dimensional concept from biomedicine, there are significant increases in publications, citations, funding, collaborations, and other explanatory variables or contextual factors. What is observed in the microbiome, or any historical evolution of a scientific field or scientific knowledge, is that these changes are related to changes in knowledge, but what is not understood is how to measure and track changes in knowledge. This investigation highlights how contextual factors from the language and social context of the microbiome are related to changes in the usage, meaning, and scientific knowledge on the microbiome. Two interconnected studies integrating qualitative and quantitative evidence examine the variation and change of the microbiome evidence are presented. First, the concepts microbiome, metagenome, and metabolome are compared to determine the boundaries of the microbiome concept in relation to other concepts where the conceptual boundaries have been cited as overlapping. A collection of publications for each concept or corpus is presented, with a focus on how to create, collect, curate, and analyze large data collections. This study concludes with suggestions on how to analyze biomedical concepts using a hybrid approach that combines results from the larger language context and individual words. Second, the results of a systematic review that describes the variation and change of microbiome research, funding, and knowledge are examined. A corpus of approximately 28,000 articles on the microbiome are characterized, and a spectrum of microbiome interpretations are suggested based on differences related to context. The collective results suggest the microbiome is a separate concept from the metagenome and metabolome, and the variation and change to the microbiome concept was influenced by contextual factors. These results provide insight into how concepts with extensive resources behave within biomedicine and suggest the microbiome is possibly representative of conceptual change or a preview of new dynamics within science that are expected in the future.
ContributorsAiello, Kenneth (Author) / Laubichler, Manfred D (Thesis advisor) / Simeone, Michael (Committee member) / Buetow, Kenneth (Committee member) / Walker, Sara I (Committee member) / Arizona State University (Publisher)
Created2018
Description
With the advent of sophisticated computer technology, we increasingly see the use of computational techniques in the study of problems from a variety of disciplines, including the humanities. In a field such as poetry, where classic works are subject to frequent re-analysis over the course of years, decades, or even

With the advent of sophisticated computer technology, we increasingly see the use of computational techniques in the study of problems from a variety of disciplines, including the humanities. In a field such as poetry, where classic works are subject to frequent re-analysis over the course of years, decades, or even centuries, there is a certain demand for fresh approaches to familiar tasks, and such breaks from convention may even be necessary for the advancement of the field. Existing quantitative studies of poetry have employed computational techniques in their analyses, however, there remains work to be done with regards to the deployment of deep neural networks on large corpora of poetry to classify portions of the works contained therein based on certain features. While applications of neural networks to social media sites, consumer reviews, and other web-originated data are common within computational linguistics and natural language processing, comparatively little work has been done on the computational analysis of poetry using the same techniques. In this work, I begin to lay out the first steps for the study of poetry using neural networks. Using a convolutional neural network to classify author birth date, I was able to not only extract a non-trivial signal from the data, but also identify the presence of clustering within by-author model accuracy. While definitive conclusions about the cause of this clustering were not reached, investigation of this clustering reveals immense heterogeneity in the traits of accurately classified authors. Further study may unpack this clustering and reveal key insights about how temporal information is encoded in poetry. The study of poetry using neural networks remains very open but exhibits potential to be an interesting and deep area of work.
ContributorsGoodloe, Oscar Laurence (Author) / Nishimura, Joel (Thesis director) / Broatch, Jennifer (Committee member) / School of Mathematical and Natural Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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Description
The Embryo Project (EP) Encyclopedia is an online database that has consolidated hundreds of development-related research articles, with subcategories addressing the context of such research. These articles are written by undergraduate students, graduate students, and professionals in the fields of biology, history, and other fields, and are intended for a

The Embryo Project (EP) Encyclopedia is an online database that has consolidated hundreds of development-related research articles, with subcategories addressing the context of such research. These articles are written by undergraduate students, graduate students, and professionals in the fields of biology, history, and other fields, and are intended for a diverse audience of readers from both biology and non-biology related backgrounds. As the EP addresses a public audience, it is imperative to utilize all possible means to share the information that each article covers. Until 2013, the EP Encyclopedia did not present images in articles as no formal protocol for image development existed. I have created an image style guide that outlines the basic steps of creating and submitting an image that can complement an EP article and can enhance a reader's understanding of the discussed concept. In creating this style guide, I investigated similar protocols used by other scientific journals and medical professionals. I also used different programs and based my style guide off of the procedures I used in Adobe Illustrator CS6.
ContributorsHamidi, Neekta (Author) / Maienschein, Jane (Thesis director) / Crowe, Nathan (Committee member) / O'Neil, Erica (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2013-05
Description
Elizabeth Grumbach, the project manager of the Institute for Humanities Research's Digital Humanities Initiative, shares methodologies and best practices for designing a digital humanities project. The workshop will offer participants an introduction to digital humanities fundamentals, specifically tools and methodologies. Participants explore technologies and platforms that allow scholars of all

Elizabeth Grumbach, the project manager of the Institute for Humanities Research's Digital Humanities Initiative, shares methodologies and best practices for designing a digital humanities project. The workshop will offer participants an introduction to digital humanities fundamentals, specifically tools and methodologies. Participants explore technologies and platforms that allow scholars of all skills levels to engage with digital humanities methods. Participants will be introduced to a variety of tools (including mapping, visualization, data analytics, and multimedia digital publication platforms), and how and why to choose specific applications, platforms, and tools based on project needs.
ContributorsGrumbach, Elizabeth (Author)
Created2018-09-26
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Description
How is knowledge created at the intersections between basic science, biotechnology, and industry? Gene drives are an interesting example, as they combine a long-standing interest with a recent technological breakthrough and a new set of commercial applications. Gene drives are genes engineered such that they are preferentially inherited at a

How is knowledge created at the intersections between basic science, biotechnology, and industry? Gene drives are an interesting example, as they combine a long-standing interest with a recent technological breakthrough and a new set of commercial applications. Gene drives are genes engineered such that they are preferentially inherited at a frequency greater than the typical Mendelian fifty percent ratio. During the historical and conceptual evolution of gene drives beginning in the 1960s, there have been many innovations and publications. Along with that, gene drive science developed considerable public attention, explosion of new scientists, and variation in the way the topic is discussed. It is now time to look at this new organization of science using a systematic approach to characterize the system that has enabled knowledge to grow in this scientific field. This project breaks new ground in how knowledge advances in genetic engineering science, and how scientists understand what a “gene drive” is through analysis of language, communities, and other social factors. In effect, this research will advance multiple fields and enable a deeper understanding of knowledge and complexity. This project documents patterns of publication, collaborative relationships, linguistic variation, innovation, and knowledge expansion. The results of computational analysis provide an in-depth and complete characterization of the structure, dynamics, and evolution of scientific knowledge found in the gene drive technology. Further, time series analysis of the multiple layers of discourse enabled a diachronic connective mapping of collaborative relationships and tracked linguistic variation and change, highlighting where ambiguous language may appear, improving and creating more cohesive scientific language. Overall, depicting the structure, dynamics, and evolution of scientific knowledge during a novel eruption of scientific complexity can shed light on the factors that can lead to: (1) improved scientific communication, (2) reduction of scientific progress, (3) new knowledge, and (4) novel collaborative relationships. Therefore, characterizing the current technological, methodological, and social contexts that can influence scientific knowledge.
ContributorsOToole, Cody Lane (Author) / Laubichler, Manfred (Thesis advisor) / Collins, James P (Committee member) / Simeone, Michael (Committee member) / Evans, James (Committee member) / Arizona State University (Publisher)
Created2021
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Description
Computational tools in the digital humanities often either work on the macro-scale, enabling researchers to analyze huge amounts of data, or on the micro-scale, supporting scholars in the interpretation and analysis of individual documents. The proposed research system that was developed in the context of this dissertation ("Quadriga System") works

Computational tools in the digital humanities often either work on the macro-scale, enabling researchers to analyze huge amounts of data, or on the micro-scale, supporting scholars in the interpretation and analysis of individual documents. The proposed research system that was developed in the context of this dissertation ("Quadriga System") works to bridge these two extremes by offering tools to support close reading and interpretation of texts, while at the same time providing a means for collaboration and data collection that could lead to analyses based on big datasets. In the field of history of science, researchers usually use unstructured data such as texts or images. To computationally analyze such data, it first has to be transformed into a machine-understandable format. The Quadriga System is based on the idea to represent texts as graphs of contextualized triples (or quadruples). Those graphs (or networks) can then be mathematically analyzed and visualized. This dissertation describes two projects that use the Quadriga System for the analysis and exploration of texts and the creation of social networks. Furthermore, a model for digital humanities education is proposed that brings together students from the humanities and computer science in order to develop user-oriented, innovative tools, methods, and infrastructures.
ContributorsDamerow, Julia (Author) / Laubichler, Manfred (Thesis advisor) / Maienschein, Jane (Thesis advisor) / Creath, Richard (Committee member) / Ellison, Karin (Committee member) / Hooper, Wallace (Committee member) / Renn, Jürgen (Committee member) / Arizona State University (Publisher)
Created2014