Theses and dissertations

This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students. 

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Women and Hackathons: An Analysis on Hackathons' Effects on Women's Motivation in Computer-Related Fields

Description
In today's world, technology plays a large role in everyone's life. However, there is a short supply of professionals to fill the roles in the computing field. When examining closer, it is clear that one group has a smaller representation: women. This can be contributed to many factors early in…

In today's world, technology plays a large role in everyone's life. However, there is a short supply of professionals to fill the roles in the computing field. When examining closer, it is clear that one group has a smaller representation: women. This can be contributed to many factors early in the women's lives and academic careers. In hopes of increasing the number of women computing professionals, this thesis aimed to understand the problem of a lack of women in technology and studied how hackathons could be a possible solution. The research followed Desert Hacks as it examines the typical participants as well as the hackathons effects on women's morale in technology. Two important questions during the investigation were what kind of women are attending hackathons and how do women feel about the technology industry after a hackathon? The results suggested that hackathon had an overall positive effect on women's motivation in the computing field. Additionally, most research participants believed that everyone has the potential to do well in the field and that gender inclusion is important for the industry. This ideology can foster a healthy environment for women to become more motivated in computing. Through these results, hackathons can be seen as another mean to help motivate women in the field and open up the possibility of future studies of women and hackathons.
ContributorsVo, Thong Bach (Author) / Atkinson, Robert (Thesis director) / Chavez-Echeagaray, Maria Elena (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
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Ethnic Discrimination, Socioeconomic Status, and Health in India

Description

Significant health inequalities exist between different castes and ethnic communities in India, and identifying the roots of these inequalities is of interest to public health research and policy. Research on caste-based health inequalities in India has historically focused on general, government-defined categories, such as “Scheduled Castes,” “Scheduled Tribes,” and “Other…

Significant health inequalities exist between different castes and ethnic communities in India, and identifying the roots of these inequalities is of interest to public health research and policy. Research on caste-based health inequalities in India has historically focused on general, government-defined categories, such as “Scheduled Castes,” “Scheduled Tribes,” and “Other Backward Classes.” This method obscures the diversity of experiences, indicators of well-being, and health outcomes between castes, tribes, and other communities in the “scheduled” category. This study analyzes data on 699,686 women from 4,260 castes, tribes and communities in the 2015-2016 Demographic and Health Survey of India to: (1) examine the diversity within and overlap between general, government-defined community categories in both wealth, infant mortality, and education, and (2) analyze how infant mortality is related to community category membership and socioeconomic status (measured using highest level of education and household wealth). While there are significant differences between general, government-defined community categories (e.g., scheduled caste, backward class) in both wealth and infant mortality, the vast majority of variation between communities occurs within these categories. Moreover, when other socioeconomic factors like wealth and education are taken into account, the difference between general, government-defined categories reduces or disappears. These findings suggest that focusing on measures of education and wealth at the household level, rather than general caste categories, may more accurately target those individuals and households most at risk for poor health outcomes. Further research is needed to explain the mechanisms by which discrimination affects health in these populations, and to identify sources of resilience, which may inform more effective policies.
ContributorsClauss, Colleen (Author) / Hruschka, Daniel (Thesis director) / Davis, Mary (Committee member) / Barrett, The Honors College (Contributor) / School of Human Evolution & Social Change (Contributor) / Department of Psychology (Contributor)
Created2022-05