Matching Items (4)
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- All Subjects: diversity
- All Subjects: LGBTQ studies
- Creators: Richter, Jennifer
- Member of: Theses and Dissertations
- Status: Published
Description
Mexico City has an ongoing air pollution issue that negatively affects its citizens and surroundings with current structural disconnections preventing the city from improving its overall air quality. Thematic methodological analysis reveals current obstacles and barriers, as well as variables contributing to this persistent problem. A historical background reveals current programs and policies implemented to improve Mexico’s City air quality. Mexico City’s current systems, infrastructure, and policies are inadequate and ineffective. There is a lack of appropriate regulation on other modes of transportation, and the current government system fails to identify how the class disparity in the city and lack of adequate education are contributing to this ongoing problem. Education and adequate public awareness can potentially aid the fight against air pollution in the Metropolitan City.
ContributorsGarcia, Lucero (Author) / Duarte, Marisa E. (Thesis advisor) / Arzubiaga, Angela (Committee member) / Richter, Jennifer (Committee member) / Arizona State University (Publisher)
Created2018
Description
The mainstream American environmental movement has a reputation for being ethnically homogenous (i.e., white), especially within the field of conservation. Low minority involvement has been noted and discussed in the conservation literature and within environmental organizations, but these discussions aren't always informed by the explicit social justice concerns critical to understanding the complex intersection of environmental and social issues. Communities of color have expressed concern for environmental and conservation issues, but often frame those issues in a different way than is common in mainstream conservation science, a framing that we can appreciate through a deeper analysis of the values and goals of the environmental justice (EJ) movement. A more thorough inclusion of EJ principles could be an effective method to increase ethnic diversity in the field of conservation, particularly within higher education conservation programs like the Conservation Biology and Ecology (CBE) concentration at Arizona State University. This thesis frames the broader challenge of diversity in conservation, the history and current state of the conservation movement, and the history of the environmental justice movement via a literature review. I then evaluate the university's CBE program on the basis of its diversity through an analysis of demographic data on undergraduate ethnicity from the School of Life Sciences. I conclude with a series of recommendations for enhancing the diversity of ASU's CBE program moving forward.
ContributorsLiska, Kelly Margaret (Author) / Minteer, Ben (Thesis director) / Richter, Jennifer (Committee member) / Hall, Sharon (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Lower representation of women in the engineering and computer science workforce is a global problem. In the United States, women in engineering drop out at a rate higher than their male counterparts. The male/female ratio in the engineering workforce has remained stagnant despite growing percentages of graduates. Women dropout due to familial responsibilities and they leave to take positions in other industries. In India, women are also employed at a lower rate than men. Many studies address the reasons why women leave, but few studies address why they stay. Those that do, address the personal and organizational characteristics that enable women to persist. Little research was found regarding the social supports that further women's ability to persist in the male-dominated field of engineering. This study surveyed 173 men and women engineers in the United States and India as well as collected qualitative data. The research focused on the social supports of family, friends, a special person, supervisors, coworkers, and professional networking, to determine how they support engineering persistence in the four demographics. The participants were scored on their level of persistence and the impact of social supports was evaluated against it. All supports were significant, although not for all demographics. Social supports of family, friends and a special person were more important to the sample of engineers from India, a collectivist culture. The importance of the supervisor relationship to women in the United States was reaffirmed. Professional networking, informal or formal, was the only support significantly related to persistence across all demographics. In the qualitative data there was a strong theme; coworkers are their friends and they support them in their engineering life. As companies re-think their organizational environment and attempt to change engineering culture and long-standing attitudes, women can engage in creating strong social supports and assist in building quality professional networking opportunities. A strong web of support strengthens a woman engineer’s ability to persist during difficult times and provides them opportunities for personal and career growth. It can also be a vehicle for furthering diversity and inclusion in their organizations.
ContributorsFerrell, Joan Leslie (Author) / Parmentier, Mary Jane C. (Thesis advisor) / Frow, Emma Khamis (Committee member) / Richter, Jennifer (Committee member) / Arizona State University (Publisher)
Created2016
Description
Software systems can exacerbate and cause contemporary social inequities. As such, scholars and activists have scrutinized sociotechnical systems like those used in facial recognition technology or predictive policing using the frameworks of algorithmic bias and dataset bias. However, these conversations are incomplete without study of data models: the structural, epistemological, and technical frameworks that shape data. In Modeling Power: Data Models and the Production of Social Inequality, I elucidate the connections between relational data modeling techniques and manifestations of systems of power in the United States, specifically white supremacy and cisgender normativity. This project has three distinct parts. First, I historicize early publications by E. F. Codd, Peter Chen, Miles Smith & Diane Smith, and J. R. Abrial to demonstrate that now-taken-for-granted data modeling techniques were products of their social and technical moments and, as such, reinforced dominant systems of power. I further connect database reification techniques to contemporary racial analyses of reification via the work of Cheryl Harris. Second, I reverse engineer Android applications (with Jadx and apktool) to uncover the relational data models within. I analyze DAO annotations, create entity-relationship diagrams, and then examine those resultant models, again linking them back to systems of race and gender power. I craft a method for performing a reverse engineering investigation within a specific sociotechnical context -- a situated analysis of the contextual epistemological frames embedded within relational paradigms. Finally, I develop a relational data model that integrates insights from the project’s reverse and historical engineering phases. In my speculative engineering process, I suggest that the temporality of modern digital computing is incommensurate with the temporality of modern transgender lives. Following this, I speculate and build a trans-inclusive data model that demonstrates uses of reification to actively subvert systems of racialized and gendered power. By promoting aspects of social identity to first-order objects within a data model, I show that additional “intellectual manageability” is possible through reification. Through each part, I argue that contemporary approaches to the social impacts of software systems incomplete without data models. Data models structure algorithmic opportunities. As algorithms continue to reinforce systems of inequality, data models provide opportunities for intervention and subversion.
ContributorsStevens, Nikki Lane (Author) / Wernimont, Jacqueline D (Thesis advisor) / Michael, Katina (Thesis advisor) / Richter, Jennifer (Committee member) / Duarte, Marisa E. (Committee member) / Arizona State University (Publisher)
Created2022