Inclusive Decision Making: Applying Human Factors Methods to Capture the Needs and Voices of Marginalized Populations
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2019
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Industrial and Manufacturing Systems Engineering
The Department of Industrial and Manufacturing Systems Engineering teaches the design, analysis, and improvement of the systems and processes in manufacturing, consulting, and service industries by application of the principles of engineering. The Department of General Engineering was formed in 1929. In 1956 its name changed to Department of Industrial Engineering. In 1989 its name changed to the Department of Industrial and Manufacturing Systems Engineering.
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Aerospace EngineeringArchitectureVirtual Reality Applications CenterEnglishIndustrial and Manufacturing Systems EngineeringVirtual Reality Applications Center
Abstract
As urban areas face uncertain climate futures, leaders are challenged with making decisions to mitigate the effects of climate events on vulnerable populations. However, these populations have historically been excluded from many parts of the decision-making process. To promote more equitable decision-making, an inclusive, data-driven decision support methodology was developed to include the needs and voices of populations in economically and culturally marginalized areas. The approach was applied by the Sustainable Cities Decision-Making research team at Iowa State University in collaboration with local civic, non-profit, and residential partners in Des Moines, Iowa. The team identified evidence-based approaches for the integration of human behavior data, building energy use characteristics, future climate scenarios, and near-building microclimate data to inform decisions about how to adapt their city and its neighborhoods to changing climate conditions. Using this methodology, best practices were developed to gather data from community members and stakeholders. The data were then used in models, visualizations, and action projects that closed the loop between data gathering and results dissemination to benefit the local community. This work can be used to inform decisions being made by individuals and policymakers. Importantly, the process is iterative: after decisions are made, the cycle may begin again with data collection to evaluate the outcomes of these actions.
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This is an Accepted Manuscript of a book chapter published as Stonewall, Jacklin, Michael C. Dorneich, Linda Shenk, Caroline C. Krejci, and Ulrike Passe. "Inclusive Decision-Making: Applying Human Factors Methods to Capture the Needs and Voices of Marginalized Populations." In Advancing Diversity, Inclusion, and Social Justice through Human Systems Engineering (Rod D. Roscoe, Erin K. Chiou, and Abigail R. Wooldridge, eds.). Boca Raton: CRC Press, 2019: 11-29. Posted with permission.
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Wed Jan 01 00:00:00 UTC 2020