Algae as Agents
Datum
2021-06-13
Autor:innen
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Zusammenfassung
As 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 algae’s nature through an apolitical
lens, and expand our growing list of research design methodologies.
Beschreibung
157 pages. Committee chair: Michael Geffel
Schlagwörter
Responsive Modeling, Experimental Modeling, Environmental Modeling, Landscape Modeling, Dynamic Modeling, Computational Process, Algae Modeling, Harmful Algae Blooms, Algae Mitigation, South Florida Water Management