Algae as Agents

dc.contributor.authorWoolverton, Aaron
dc.date.accessioned2021-06-13T22:46:44Z
dc.date.available2021-06-13T22:46:44Z
dc.date.issued2021-06-13
dc.description157 pages. Committee chair: Michael Geffelen_US
dc.description.abstractAs a means of understanding landscape phenomenon, responsive modeling establishes a place to concurrently hinge between generating and testing hypotheses while incorporating the expanding agency of computational modeling and live data streams. Inspired by the ideas of process discourse and research through design, this project will investigate the harmful recurrence of algae blooms in South Florida waterways through the means of responsive modeling. Algae as Agents aims to define the responsive model as a research method via case study investigation and analysis; subsequently, responsive modeling practices and concepts has the potential to be translated from these case studies into the context of South Florida via projective design methodologies. The overall goal of the project is to establish an iterative design approach as the platform to understand the complexities of algae mitigation while simultaneously providing the researcher a place to test design outcomes experimentally. Following these design translations is a reflective meta-analysis revealing both the limitations and knowledge garnered throughout the design process. This discussion expands the meaning of the responsive model while providing it more definition within the realm of landscape architecture research strategies. By projecting responsive modeling concepts into this context, we have an opportunity to speculate upon this issue, illuminate algaeā€™s nature through an apolitical lens, and expand our growing list of research design methodologies.en_US
dc.identifier.urihttps://hdl.handle.net/1794/26346
dc.languageen_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesUniversity of Oregon theses, Landscape Architecture Program, M.S.;
dc.rightsCreative Commons BY-NC-ND 4.0-USen_US
dc.subjectResponsive Modelingen_US
dc.subjectExperimental Modelingen_US
dc.subjectEnvironmental Modelingen_US
dc.subjectLandscape Modelingen_US
dc.subjectDynamic Modelingen_US
dc.subjectComputational Processen_US
dc.subjectAlgae Modelingen_US
dc.subjectHarmful Algae Bloomsen_US
dc.subjectAlgae Mitigationen_US
dc.subjectSouth Florida Water Managementen_US
dc.titleAlgae as Agentsen_US
dc.typeTerminal Projecten_US

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