Barrett, The Honors College Thesis/Creative Project Collection
Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.
Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.
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During the first week of his presidency, President Trump signed three executive orders that would serve as the basis for three of his administration’s most prominent deterrent immigration policies: the “Trump Travel Bans,” sanctuary jurisdictions, and the construction of a southern border wall. While this paper describes the intended goals of each executive order, it also details the complementary policies utilized by the administration to deter both legal and undocumented immigration. Though these federal policies target different immigrant groups, they all attempt to deter some form of immigration. It is the goal of this paper to analyze whether or not the immigration policies of the Trump administration are actually effective in deterring multiple forms of immigration. To do this, this paper asks two main questions.
Each section of this paper addresses two questions when analyzing the goals of each policy. First, are the deterrent immigration policies of the Trump administration effective in reducing threats to national security and/or undocumented immigration? Next, this paper questions whether or not the deterrent immigration policies of the Trump administration are mostly symbolic in nature.
Finally, this paper includes a future policies section which predicts future immigration policies President Trump may decide to undertake. This section bases these hypotheses on the three policies detailed within this paper and their results when compared to their intended goals. Finally, this section takes into account the symbolic nature of the deterrent immigration policies of the Trump administration.
Low-income areas are more likely to be exposed to poor air quality and hazardous levels of criteria pollutants, including particulate matter. While this relationship is well documented in environmental justice and equity literature, there is less discussion of how it is addressed by regulatory air quality departments and their monitoring networks. Socioeconomic clustering in highly polluted areas presents a challenge for local regulatory agencies as it may result in over- or under-monitoring of certain income brackets. This is significant because, for regulatory bodies, what is monitored determines where environmental regulations are enforced. In this study, I look at the spatial concentrations of low-income neighborhoods and their proximity to regulatory fine particulate matter monitoring stations in Maricopa County, Arizona and Santiago Metropolitan Region, Chile. This study also evaluates which monitors are most often in exceedance of air quality standards for PM2.5. Using census data, individual monitor readings, and monitoring network assessment data to create tables and maps, I illustrate that, in both case studies, regulatory PM2.5 monitors are frequently positioned in proximity to very low-income or highly impoverished communities. The monitors most often and furthest past exceedance of federal air quality standards are those in (or closest) to the poorest parts of the urban center of the region. In both cases, these populations and monitors are heavily concentrated to the south and west of the region’s primary city. This is likely due to compounding factors attributed to urban geography and zoning that should be explored in future studies. I use these findings to suggest that income and poverty level should be evaluated as an environmental justice factor and as an area for improvement in assessments of regulatory monitoring networks, and to provide further evidence in the debate about equitable air quality monitoring.