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- All Subjects: Sustainability
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.
Background: Household activities are responsible for up to 80% of direct and indirect greenhouse gas emissions in the United States. These greenhouse gas emissions come from activities including actions taken in relation to food, energy, and water (FEW) resource consumption. Therefore, actions taken at a household level have the potential to significantly reduce greenhouse gas emissions. A game-based learning approach can be used to educate youth on what actions they can take around their household to reduce their carbon footprint. <br/>Aim: FEWS for change is a first player role-playing game developed to educate high school students on how their actions impact the FEW resources and carbon emissions. The game also aims to measure how player’s beliefs and worldview effect their game play regarding sustainability and the environment. <br/>Methods: We developed the FEWS (Food, Energy, and Water Systems) for Change role-playing game based on transdisciplinary research of the food, energy, and water nexus, social, economic, and environmental factors. We piloted the game with a few students for initial results and will have a high school classroom pilot the game in mid-May.<br/>Preliminary Results: Results from the 4 participants demonstrated achievement of the learning goal of the pilot testing. This is objective was met by measuring the players improvement on the postsurvey compared to the presurvey. Due to limitations of time and virtual facilitation of this game, the other two learning objectives could not be measured in this initial pilot because not all post-game activities were included which are needed to measure the other learning objectives. When the game is piloted in mid-May, the other two learning objectives will be tested and measured.