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- Creators: Arizona State University
Description
Resettled refugees face numerous challenges including unsafe living conditions, loss of permanent shelter, adjustment to a new culture, loneliness, and separation from family, friends, and community. Of particular importance is the lack of a feeling of sense of community (SOC) within their new surroundings. SOC is not only worthwhile as an outcome of its own, but may also predict additional positive outcomes such as resilience and cultural adjustment. Literature has shown participation in sport can develop youth positively and build social skills, while studies in other regions of the world have also found a sport team setting to be a place for immigrants to experience SOC. In this study, I use a congruent mixed methods approach to both explore the experience of SOC for youth refugees in a soccer club, and examine the relation of SOC to resilience and cultural adjustment. Using photo-elicitation and semi-structured interviews with 11 youth participants, the qualitative portion of the study explored SOC among youth participants. Findings note the presence of SOC as matched to theoretical frameworks both specific to sport, and to a more general theory of SOC. Further data were collected through questionnaires distributed to club members. Results from the quantitative analysis indicate a significant positive relation between SOC and resilience, and SOC and perceived acculturation. This study’s contribution is to illustrate how refugee youth in a sport club in the United States experience SOC, and the impact of that SOC. Results suggest practical implications for sport managers who wish to provide positive sport experiences for youth refugees.
ContributorsFader, Nina (Author) / Legg, Eric (Thesis advisor) / Larsen, Dale (Committee member) / Klimek, Barbara (Committee member) / Arizona State University (Publisher)
Created2018
Description
Understanding the resilience of water management systems is critical for the continued existence and growth of communities today, in urban and rural contexts alike. In recent years, many studies have evaluated long-term human-environmental interactions related to water management across the world, highlighting both resilient systems and those that eventually succumb to their vulnerabilities. To understand the multitude of factors impacting resilience, scholars often use the concept of adaptive capacity. Adaptive capacity is the ability of actors in a system to make adaptations in anticipation of and in response to change to minimize potential negative impacts.
In this three-paper dissertation, I evaluate the adaptive capacity of the water management systems of two medieval Khmer cities, located in present-day Cambodia, over the course of centuries. Angkor was the capital of the Khmer Empire for over 600 years (9 th -15 th centuries CE), except for one brief period when the capital was relocated to Koh Ker (921 – 944 CE). These cities both have massive water management systems that provide a comparative context for studying resilience; while Angkor thrived for hundreds of years, Koh Ker was occupied as the capital of the empire for a relatively short period. In the first paper, I trace the chronological and spatial development of two types of settlement patterns (epicenters and lower-density temple-reservoir settlement units) at Angkor in relation to state-sponsored hydraulic infrastructure. In the second and third papers, I conduct a diachronic analysis using empirical data for the adaptive capacity of the water management systems at both cities. The results suggest that adaptive capacity is useful for identifying causal factors in the resilience and failures of systems over the long term. The case studies also demonstrate the importance and warn of the danger of large centralized water management features.
In this three-paper dissertation, I evaluate the adaptive capacity of the water management systems of two medieval Khmer cities, located in present-day Cambodia, over the course of centuries. Angkor was the capital of the Khmer Empire for over 600 years (9 th -15 th centuries CE), except for one brief period when the capital was relocated to Koh Ker (921 – 944 CE). These cities both have massive water management systems that provide a comparative context for studying resilience; while Angkor thrived for hundreds of years, Koh Ker was occupied as the capital of the empire for a relatively short period. In the first paper, I trace the chronological and spatial development of two types of settlement patterns (epicenters and lower-density temple-reservoir settlement units) at Angkor in relation to state-sponsored hydraulic infrastructure. In the second and third papers, I conduct a diachronic analysis using empirical data for the adaptive capacity of the water management systems at both cities. The results suggest that adaptive capacity is useful for identifying causal factors in the resilience and failures of systems over the long term. The case studies also demonstrate the importance and warn of the danger of large centralized water management features.
ContributorsKlassen, Sarah E (Author) / Nelson, Ben (Thesis advisor) / Redman, Charles (Thesis advisor) / Evans, Damian (Committee member) / Smith, Mike E (Committee member) / Barton, Michael C (Committee member) / Arizona State University (Publisher)
Created2018
Description
This dissertation research examines the impact of migration on the emotional well-being of temporary, low-wage workers who migrate from the Global South to Dubai in the United Arab Emirates (UAE). Unlike previous research in the UAE, this study’s sample reflects a far broader diversity of nationalities and occupations, and focuses on those earning in the lowest wage bracket. Their experiences revealed the systemic attributes of precarity and the violent structures that perpetuate them.
My research addresses several substantive debates. I found that rather than emigrating for rational reasons—as neoclassical theory of migration posits—the migrants in my study tended to rationalize their reasons for emigrating through processes of cognitive dissonance. Further, where previous scholarship has tended to conflate issues of national, ethnic, and racial discrimination, I disentangle the processes that motivate discriminatory behavior by showing how seemingly innocuous references to “nationality” can be driven by a desire to hide racial prejudices, while at the same time, conflating all as “racism” can reflect a simplistic analysis of the contributing factors. I show how past historical structures of colonialism and slavery are manifest in current forms of structural violence and how this violence is differentially experienced on the basis of nationality, perceived racial differences, and/or ethnicity. Additionally, my research expands theories related to the spatial dimension of discrimination. It examines how zones of marginalization shape the experiences of low-wage migrant workers as they move through or occupy these spaces. Marginalizing zones limit workers’ access to the sociality of the city and its institutional resources, which consequently increase their vulnerability.
Individual well-being is determined by stressful events that one encounters, by personal and external sources of resilience, and by perceptions of oneself and the stressful events. For the migrants in my study, their stressors were chronic, cumulative, and ambiguous, and while they brought with them a sufficient amount of personal resilience, it was often mitigated by non-compliance and lack of enforcement of UAE laws. The result was a state of well-being defined by isolation, fear, and despair.
My research addresses several substantive debates. I found that rather than emigrating for rational reasons—as neoclassical theory of migration posits—the migrants in my study tended to rationalize their reasons for emigrating through processes of cognitive dissonance. Further, where previous scholarship has tended to conflate issues of national, ethnic, and racial discrimination, I disentangle the processes that motivate discriminatory behavior by showing how seemingly innocuous references to “nationality” can be driven by a desire to hide racial prejudices, while at the same time, conflating all as “racism” can reflect a simplistic analysis of the contributing factors. I show how past historical structures of colonialism and slavery are manifest in current forms of structural violence and how this violence is differentially experienced on the basis of nationality, perceived racial differences, and/or ethnicity. Additionally, my research expands theories related to the spatial dimension of discrimination. It examines how zones of marginalization shape the experiences of low-wage migrant workers as they move through or occupy these spaces. Marginalizing zones limit workers’ access to the sociality of the city and its institutional resources, which consequently increase their vulnerability.
Individual well-being is determined by stressful events that one encounters, by personal and external sources of resilience, and by perceptions of oneself and the stressful events. For the migrants in my study, their stressors were chronic, cumulative, and ambiguous, and while they brought with them a sufficient amount of personal resilience, it was often mitigated by non-compliance and lack of enforcement of UAE laws. The result was a state of well-being defined by isolation, fear, and despair.
ContributorsReber-Rider, Elizabeth A (Author) / Tsuda, Takeyuki (Thesis advisor) / Estrada, Emir (Committee member) / Martin, Nathan D (Committee member) / Arizona State University (Publisher)
Created2018
Description
Positive psychology focuses on the promotion of well-being (Seligman, & Csikszentmihalyi, 2000). Positive psychology interventions (PPIs) have been developed to help facilitate the development of skills needed to flourish and current research suggests that PPIs can help individuals improve their happiness, reduce stress, and become more resilient (Lyubomirsky, King, & Diener, 2005). National surveys highlight that students in higher education are in dire need of interventions aimed at helping them cope with the negative impact of stress (Douce & Keeling, 2014; Marks & Wade, 2015). Research among the graduate student population is scant even though they report high levels of stress and work even more hours than undergraduate students (Wyatt & Oswalt, 2013). PPIs implemented in the graduate student population focus heavily on psychologically-based programs, like psychology and social work, whose students may already be receiving assistance in self-care (Botta, Cadet, & Maramaldi, 2015; Burkhart, 2014; Nelson, Dell'Oliver, Koch, & Buckler, 2001). Thus, this current study is a randomized controlled trial testing an online PPI, adapted from Achor's work in the business industry (2012, 2014), compared with an online informative stress group and a wait list control group among graduate students from various disciplines at a large, public university in the Southwest. Participants were administered pre-, post-, and three-month follow-up tests to determine the impact of the interventions on their levels of perceived stress, happiness, and resilience. A multivariate analysis of covariance (MANCOVA) was used with covariates of age, gender, race, program of study, and graduate level of study (masters versus doctoral). The main findings of the study included: the students in the PPI group reported significantly higher resilience at the end of the three weeks than did the students in the informative stress or wait list control groups, even though measures of happiness or perceived stress were not impacted; and students from psychologically based programs received the most benefit from treatment, especially from the PPI intervention. All findings, implications, and suggestions for future directions are discussed.
ContributorsVenieris, Pauline (Author) / Kinnier, Richard (Thesis advisor) / Rund, James (Committee member) / Homer, Judith (Committee member) / Arizona State University (Publisher)
Created2017
Description
Chronic stress results in functional and structural changes to the hippocampus. Decades of research has led to insights into the mechanisms underlying the chronic stress-induced deficits in hippocampal-mediated cognition and reduction of dendritic complexity of hippocampal neurons. Recently, a considerable focus of chronic stress research has investigated the mechanisms behind the improvements in hippocampal mediated cognition when chronic stress ends and a post-stress rest period is given. Consequently, the goal of this dissertation is to uncover the mechanisms that allow for spatial ability to improve in the aftermath of chronic stress. In chapter 2, the protein brain derived neurotrophic factor (BDNF) was investigated as a mechanism that allows for spatial ability to show improvements following the end of chronic stress. It was found that decreasing the expression of BDNF in the hippocampus prevented spatial memory improvements following a post-stress rest period. Chapter 3 was performed to determine whether hippocampal CA3 apical dendritic complexity requires BDNF to show improvements following a post-stress rest period, and whether a receptor for BDNF, TrkB, mediates the improvements of spatial ability and dendritic complexity in a temporal manner, i.e. during the rest period only. These experiments showed that decreased hippocampal BDNF expression prevented improvements in dendritic complexity, and administration of a TrkB antagonist during the rest period also prevented the improvements in spatial ability and dendritic complexity. In chapter 4, the role of the GABAergic system on spatial ability following chronic stress and a post-stress rest period was investigated. Following chronic stress, it was found that male rats showed impairments on the acquisition phase of the RAWM and this correlated with limbic glutamic acid decarboxylase, a marker for GABA. In chapter 5, a transgenic mouse that expresses a permanent marker on all GABAergic interneurons was used to assess the effects of chronic stress and a post-stress rest period on hippocampal GABAergic neurons. While no changes were found on the total number of GABAergic interneurons, specific subtypes of GABAergic interneurons were affected by stressor manipulations. Collectively, these studies reveal some mechanisms behind the plasticity seen in the hippocampus in response to a post-stress rest period.
ContributorsOrtiz, J. Bryce (Author) / Conrad, Cheryl D. (Thesis advisor) / Newbern, Jason M. (Committee member) / Orchinik, Miles (Committee member) / Sanabria, Federico (Committee member) / Arizona State University (Publisher)
Created2018
Description
Resilience is emerging as the preferred way to improve the protection of infrastructure systems beyond established risk management practices. Massive damages experienced during tragedies like Hurricane Katrina showed that risk analysis is incapable to prevent unforeseen infrastructure failures and shifted expert focus towards resilience to absorb and recover from adverse events. Recent, exponential growth in research is now producing consensus on how to think about infrastructure resilience centered on definitions and models from influential organizations like the US National Academy of Sciences. Despite widespread efforts, massive infrastructure failures in 2017 demonstrate that resilience is still not working, raising the question: Are the ways people think about resilience producing resilient infrastructure systems?
This dissertation argues that established thinking harbors misconceptions about infrastructure systems that diminish attempts to improve their resilience. Widespread efforts based on the current canon focus on improving data analytics, establishing resilience goals, reducing failure probabilities, and measuring cascading losses. Unfortunately, none of these pursuits change the resilience of an infrastructure system, because none of them result in knowledge about how data is used, goals are set, or failures occur. Through the examination of each misconception, this dissertation results in practical, new approaches for infrastructure systems to respond to unforeseen failures via sensing, adapting, and anticipating processes. Specifically, infrastructure resilience is improved by sensing when data analytics include the modeler-in-the-loop, adapting to stress contexts by switching between multiple resilience strategies, and anticipating crisis coordination activities prior to experiencing a failure.
Overall, results demonstrate that current resilience thinking needs to change because it does not differentiate resilience from risk. The majority of research thinks resilience is a property that a system has, like a noun, when resilience is really an action a system does, like a verb. Treating resilience as a noun only strengthens commitment to risk-based practices that do not protect infrastructure from unknown events. Instead, switching to thinking about resilience as a verb overcomes prevalent misconceptions about data, goals, systems, and failures, and may bring a necessary, radical change to the way infrastructure is protected in the future.
This dissertation argues that established thinking harbors misconceptions about infrastructure systems that diminish attempts to improve their resilience. Widespread efforts based on the current canon focus on improving data analytics, establishing resilience goals, reducing failure probabilities, and measuring cascading losses. Unfortunately, none of these pursuits change the resilience of an infrastructure system, because none of them result in knowledge about how data is used, goals are set, or failures occur. Through the examination of each misconception, this dissertation results in practical, new approaches for infrastructure systems to respond to unforeseen failures via sensing, adapting, and anticipating processes. Specifically, infrastructure resilience is improved by sensing when data analytics include the modeler-in-the-loop, adapting to stress contexts by switching between multiple resilience strategies, and anticipating crisis coordination activities prior to experiencing a failure.
Overall, results demonstrate that current resilience thinking needs to change because it does not differentiate resilience from risk. The majority of research thinks resilience is a property that a system has, like a noun, when resilience is really an action a system does, like a verb. Treating resilience as a noun only strengthens commitment to risk-based practices that do not protect infrastructure from unknown events. Instead, switching to thinking about resilience as a verb overcomes prevalent misconceptions about data, goals, systems, and failures, and may bring a necessary, radical change to the way infrastructure is protected in the future.
ContributorsEisenberg, Daniel Alexander (Author) / Seager, Thomas P. (Thesis advisor) / Park, Jeryang (Thesis advisor) / Alderson, David L. (Committee member) / Lai, Ying-Cheng (Committee member) / Arizona State University (Publisher)
Created2018
Description
The purpose of this mixed methods case study was to evaluate a dramatic arts curriculum focused on building protective factors including resiliency, cognitive flexibility, self-efficacy, and hope in eight to ten adolescent male sex offenders undergoing treatment at a residential behavioral health facility in Mesa, Arizona. The impetus for this research was suicide prevention efforts. Suicide is the second leading cause of death for ages 15-24 in the United States (CDC 2013), and prevention efforts demand complex approaches targeting major risk factors like lack of belonging and hopelessness. Arts-based prevention efforts have shown promise for building pro-social preventative factors.
ContributorsSchoenfelder, Joseph (Author) / Etheridge Woodson, Stephani (Thesis advisor) / Kelly, Anne (Committee member) / Leong, Karen (Committee member) / Arizona State University (Publisher)
Created2018
Description
The resilience of infrastructure essential to public health, safety, and well-being remains a priority among Federal agencies and institutions. National policies and guidelines enacted by these entities call for a holistic approach to resilience and effectively acknowledge the complex, multi-organizational, and socio-technical integration of critical infrastructure. However, the concept of holism is seldom discussed in literature. As a result, resilience knowledge among disciplines resides in near isolation, inhibiting opportunities for collaboration and offering partial solutions to complex problems. Furthermore, there is limited knowledge about how human resilience and the capacity to develop and comprehend increasing levels of complexity can influence, or be influenced by, the resilience of complex systems like infrastructure. The above gaps are addressed in this thesis by 1) applying an Integral map as a holistic framework for organizing resilience knowledge across disciplines and applications, 2) examining the relationships between human and technical system resilience capacities via four socio-technical processes: sensing, anticipating, adapting, and learning (SAAL), and 3) identifying an ontological framework for anticipating human resilience and adaptive capacity by applying a developmental perspective to the dynamic relationships between humans interacting with infrastructure. The results of applying an Integral heuristic suggest the importance of factors representing the social interior like organizational values and group intentionality may be under appreciated in the resilience literature from a holistic perspective. The analysis indicates that many of the human and technical resilience capacities reviewed are interconnected, interrelated, and interdependent in relation to the SAAL socio-technical processes. This work contributes a socio-technical perspective that incorporates the affective dimension of human resilience. This work presents an ontological approach to critical infrastructure resilience that draws upon the human resilience, human psychological development, and resilience engineering literatures with an integrated model to guide future research. Human mean-making offers a dimensional perspective of resilient socio-technical systems by identifying how and why the SAAL processes change across stages of development. This research suggest that knowledge of resilient human development can improve technical system resilience by aligning roles and responsibilities with the developmental capacities of individuals and groups responsible for the design, operation and management of critical infrastructures.
ContributorsThomas, John E. (Author) / Seager, Thomas P (Thesis advisor) / Clark, Susan (Committee member) / Cloutier, Scott (Committee member) / Fisher, Erik (Committee member) / Arizona State University (Publisher)
Created2017
Description
Over the past century, the world has become increasingly more complex. Modern systems (i.e blockchain, internet of things (IoT), and global supply chains) are inherently difficult to comprehend due to their high degree of connectivity. Understanding the nature of complex systems becomes an acutely more critical skill set for managing socio-technical infrastructure systems. As existing education programs and technical analysis approaches fail to teach and describe modern complexities, resulting consequences have direct impacts on real-world systems. Complex systems are characterized by exhibiting nonlinearity, interdependencies, feedback loops, and stochasticity. Since these four traits are counterintuitive, those responsible for managing complex systems may struggle in identifying these underlying relationships and decision-makers may fail to account for their implications or consequences when deliberating systematic policies or interventions.
This dissertation details the findings of a three-part study on applying complex systems modeling techniques to exemplar socio-technical infrastructure systems. In the research articles discussed hereafter, various modeling techniques are contrasted in their capacity for simulating and analyzing complex, adaptive systems. This research demonstrates the empirical value of a complex system approach as twofold: (i) the technique explains systems interactions which are often neglected or ignored and (ii) its application has the capacity for teaching systems thinking principles. These outcomes serve decision-makers by providing them with further empirical analysis and granting them a more complete understanding on which to base their decisions.
The first article examines modeling techniques, and their unique aptitudes are compared against the characteristics of complex systems to establish which methods are most qualified for complex systems analysis. Outlined in the second article is a proof of concept piece on using an interactive simulation of the Los Angeles water distribution system to teach complex systems thinking skills for the improved management of socio-technical infrastructure systems. Lastly, the third article demonstrates the empirical value of this complex systems approach for analyzing infrastructure systems through the construction of a systems dynamics model of the Arizona educational-workforce system, across years 1990 to 2040. The model explores a series of dynamic hypotheses and allows stakeholders to compare policy interventions for improving educational and economic outcome measures.
This dissertation details the findings of a three-part study on applying complex systems modeling techniques to exemplar socio-technical infrastructure systems. In the research articles discussed hereafter, various modeling techniques are contrasted in their capacity for simulating and analyzing complex, adaptive systems. This research demonstrates the empirical value of a complex system approach as twofold: (i) the technique explains systems interactions which are often neglected or ignored and (ii) its application has the capacity for teaching systems thinking principles. These outcomes serve decision-makers by providing them with further empirical analysis and granting them a more complete understanding on which to base their decisions.
The first article examines modeling techniques, and their unique aptitudes are compared against the characteristics of complex systems to establish which methods are most qualified for complex systems analysis. Outlined in the second article is a proof of concept piece on using an interactive simulation of the Los Angeles water distribution system to teach complex systems thinking skills for the improved management of socio-technical infrastructure systems. Lastly, the third article demonstrates the empirical value of this complex systems approach for analyzing infrastructure systems through the construction of a systems dynamics model of the Arizona educational-workforce system, across years 1990 to 2040. The model explores a series of dynamic hypotheses and allows stakeholders to compare policy interventions for improving educational and economic outcome measures.
ContributorsNaufel, Lauren Rae McBurnett (Author) / Bekki, Jennifer (Thesis advisor) / Kellam, Nadia (Thesis advisor) / Rogers, Bradley (Committee member) / Arizona State University (Publisher)
Created2020
Description
This study was designed to examine the associations between food skills, resilience, and coping during the Covid-19 pandemic. Between April and June of 2020, a sample of 154 students, faculty, and staff from Arizona State University were surveyed. Each respondent was administered a survey containing demographic questions, a food skill questionnaire, and the 14-item Resilience Scale (RS). Results indicate that food skill was correlated with resilience (p<0.001) at an r=0.364 and r2=0.1243 and that resilience was correlated with coping during the Covid-19 pandemic (p<0.001) at an r=0.455. Correlations were also run between resilience score and the separate domains of food skill score: all domains remained significantly associated with resilience score (p<0.001) with a r=0.340 and r2=0.1173 for ‘Food Selection and Planning,’ r=0.312 and r2=0.0958 for ‘Food Preparation,’ and r=0.294 and r2=0.0767 for ‘Food Safety.’ Data seems to be consistent with contemporary research suggesting positive associations between diet quality and physiological resilience and positive associations between resilience and coping during the Covid-19 pandemic.
ContributorsPhares, Savanna Julene (Author) / Johnston, Carol (Thesis advisor) / McCoy, Maureen (Committee member) / Irving, Andrea (Committee member) / Arizona State University (Publisher)
Created2020