TY - GEN
T1 - Queering complexity using multi-agent simulations
AU - Paré, Dylan
AU - Shanahan, Marie Claire
AU - Sengupta, Pratim
N1 - Publisher Copyright:
© ISLS.
PY - 2020
Y1 - 2020
N2 - 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, multilevel 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.
AB - 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, multilevel 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.
UR - http://www.scopus.com/inward/record.url?scp=85092903296&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85092903296&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85092903296
T3 - Computer-Supported Collaborative Learning Conference, CSCL
SP - 1397
EP - 1404
BT - 14th International Conference of the Learning Sciences
A2 - Gresalfi, Melissa
A2 - Horn, Ilana Seidel
PB - International Society of the Learning Sciences (ISLS)
T2 - 14th International Conference of the Learning Sciences: The Interdisciplinarity of the Learning Sciences, ICLS 2020
Y2 - 19 June 2020 through 23 June 2020
ER -