Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/6342
Title: Queering Complexity Using Multi-Agent Simulations
Authors: Paré, Dylan
Shanahan, Marie-Claire
Sengupta, Pratim
Keywords: Design
Issue Date: Jun-2020
Publisher: International Society of the Learning Sciences (ISLS)
Citation: Paré, D., Shanahan, M., & Sengupta, P. (2020). Queering Complexity Using Multi-Agent Simulations. In Gresalfi, M. and Horn, I. S. (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 3 (pp. 1397-1404). Nashville, Tennessee: International Society of the Learning Sciences.
Abstract: In this paper, we demonstrate how multi-agent simulations of gender and sexuality-based marginalization can help us understand gender and sexual experiences as complex, emergent, multi-level phenomena, which involve dynamic interactions between individuals, groups and institutions. We present Flocking QT Stories, a multiagent-based simulation that illustrates how structural (macro-level) phenomena such as gender and sexuality-based marginalization and resilience can manifest through individual-level interactions between computational agents. We then present illustrative cases from an ongoing co-design study with people with lived or professional scholarly experience of gender and sexuality-based marginalization. Our analysis reveals how participants interacted with Flocking QT Stories through turning (Ahmed, 2006) their attention toward marginalized agents, and engaging in multi-level reasoning (Hostetler, Sengupta & Hollett, 2018; Wilensky & Resnick, 1999) to make sense of the audio stories embedded in the simulation as well as the macro-level, emergent behaviors resulting from interactions between individuals (boids), and between individuals and institutions.
URI: https://doi.dx.org/10.22318/icls2020.1397
https://repository.isls.org//handle/1/6342
Appears in Collections:ICLS 2020

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