Programs and Communities

Vicarious exposure to traumatic events is correlated with: mental health problems, a higher prevalence of posttraumatic stress disorder, employee attrition, and higher mortality rates for Law Enforcement Officers when compared to the general population. The purpose of this evidence-based project was to determine if a resiliency training improved resiliency and resiliency knowledge in law enforcement officers in a rural law enforcement agency in the southwestern United States. Six participants completed a demographic survey, Response to Stressful Experience Scale and a resiliency knowledge measure. A Wilcoxon signed-rank test was conducted to compare pre- and post- training resiliency and resiliency knowledge scores.

The post-test overall resiliency scores (Mdn = 59.50) were not significantly higher than pre-test overall resiliency scores (Mdn = 54.50), Z = -1.47, p = .141. Post-test resiliency knowledge scores (Mdn = 9.00) were not significantly higher than pre-test resiliency knowledge scores (Mdn = 8.00), Z = -1.63, p = .102. In this group of law enforcement officers, the resiliency training did not have an effect on resiliency or resiliency knowledge. These outcomes could be potentially explained by the limited sample size (N = 6), and possibly small effect size. Recommendations for improving the current study include conducting the resiliency training with a larger sample size of at least 30, and including additional relevant questions in the resiliency knowledge measure.

Phoenix is the sixth most populated city in the United States and the 12th largest metropolitan area by population, with about 4.4 million people. As the region continues to grow, the demand for housing and jobs within the metropolitan area is projected to rise under uncertain climate conditions.

Undergraduate and graduate students from Engineering, Sustainability, and Urban Planning in ASU’s Urban Infrastructure Anatomy and Sustainable Development course evaluated the water, energy, and infrastructure changes that result from smart growth in Phoenix, Arizona. The Maricopa Association of Government's Sustainable Transportation and Land Use Integration Study identified a market for 485,000 residential dwelling units in the urban core. Household water and energy use changes, changes in infrastructure needs, and financial and economic savings are assessed along with associated energy use and greenhouse gas emissions.

The course project has produced data on sustainable development in Phoenix and the findings will be made available through ASU’s Urban Sustainability Lab.

Childhood traumatic experiences are a prevalent public health issue. Children exposed to trauma often exhibit behaviors that make educating them challenging. Preschool teachers at a southwestern United States preschool receive no training related to childhood trauma and resilience. The purpose of this project was to educate preschool teachers on trauma and resilience to improve attitude related to educating children with trauma.

Following Arizona State University Internal Review Board approval, preschool teachers were recruited from a non-profit metropolitan preschool. Project included two pre-training questionnaires (Adult Resilience Measure-Revised [ARM-R] and Attitudes Related to Trauma Informed Care scale [ARTIC]), one two-hour training via Zoom on childhood trauma and resilience, and post-training ARTIC questionnaire at two and six weeks.

Seven teachers (n=7) participated in pre-training questionnaires, and three of these teachers (n=3) participated in both post-training questionnaires. All participating teachers were female and Caucasian. Average age of participants was 49.43 years (SD=8.40, range 36-60), and experience average was 17.17 years (SD=10.15, range 3-30). AMR-R average score was 72.29 (SD=8.28, range 61-83). Pre-training ARTIC score average was 3.87 (SD=0.16). Post-training ARTIC scores at two weeks and six weeks post-training were 3.65 (SD=0.22) and 3.86 (SD=0.25).

Clinical significance included improved teacher awareness of childhood trauma and improved ability to interact with children exposed to trauma. Teachers exhibited high resilience scores. Additional research needed related to further address educating preschool teachers related to trauma informed care, related to building resilience in children, and related to the impact of teacher resilience on trauma informed care.

Keywords: teacher training, adverse childhood experiences, ACEs, childhood trauma, resilience

Hybrid system models - those devised from two or more disparate sub-system models - provide a number of benefits in terms of conceptualization, development, and assessment of dynamical systems. The decomposition approach helps to formulate complex interactions that are otherwise difficult or impractical to express. However, hybrid model development and usage can introduce complexity that emerges from the composition itself.

To improve assurance of model correctness, sub-systems using disparate modeling formalisms must be integrated above and beyond just the data and control level; their composition must have model specification and simulation execution aspects as well. Poly-formalism composition is one approach to composing models in this manner.

This dissertation describes a poly-formalism composition between a Discrete EVent System specification (DEVS) model and a Cellular Automata (CA) model types. These model specifications have been chosen for their broad applicability in important and emerging domains. An agent-environment domain exemplifies the composition approach. The inherent spatial relations within a CA make it well-suited for environmental representations. Similarly, the component-based nature of agents fits well within the hierarchical component structure of DEVS.

This composition employs the use of a third model, called an interaction model, that includes methods for integrating the two model types at a formalism level, at a systems architecture level, and at a model execution level. A prototype framework using DEVS for the agent model and GRASS for the environment has been developed and is described. Furthermore, this dissertation explains how the concepts of this composition approach are being applied to a real-world research project.

This dissertation expands the tool set modelers in computer science and other disciplines have in order to build hybrid system models, and provides an interaction model for an on-going research project. The concepts and models presented in this dissertation demonstrate the feasibility of composition between discrete-event agents and discrete-time cellular automata. Furthermore, it provides concepts and models that may be applied directly, or used by a modeler to devise compositions for other research efforts.