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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
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
Description
This dissertation examines how young children engage with digital games at home and how parents think and talk about their children's digital gaming. This is an ethnographic case study of the digital game playing of six three-year-old children in six families. This study combines ethnographic methods and critical perspectives to construct analyses that have the potential to rethink young children's digital game play. The focus of this study is on understanding how digital gaming functions in children's everyday lives. This study shows that young children's digital game play takes place in the interstices of their everyday family life. Digital games do not entirely change or displace other practices in early childhood, but they are integrated into existing young children's everyday practices in their family life. Digital games as a source of young children's imagination enrich young children's play rather than substitute for young children's spontaneous non-digital play. Young children and their parents tactically use young children's mobile game play to cope with their modern life. Negotiating over game selections, time, and space between young children and their parents is an everyday practice of families and digital games are a site not only for family power struggles but also of shared activity. Digital games reflect the dominant culture in which they are produced. However, this study shows that young children do not passively receive the messages in the games but rather make sense of the game contents according to their everyday local experiences. Digital games are now a part of everyday practices for both adults and young children, and young children's digital game play reflects contemporary society.
ContributorsHuh, Youn Jung (Author) / Tobin, Joseph (Thesis advisor) / Nakagawa, Kathryn (Thesis advisor) / Arzubiaga, Angela (Committee member) / Lee, Kyunghwa (Committee member) / Arizona State University (Publisher)
Created2015