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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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