Integrating Equity Considerations into Agent-Based Modeling: A Conceptual Framework and Practical Guidance

Tim G Williams (), Daniel G Brown (), Seth D Guikema (), Tom M Logan (), Nicholas R Magliocca (), Birgit Müller () and Cara E Steger ()
Additional contact information
Tim G Williams: https://tgwilliams.com/
Daniel G Brown: https://environment.uw.edu/faculty/dan-brown/
Seth D Guikema: https://guikema.engin.umich.edu/
Nicholas R Magliocca: https://heima.ua.edu/people.html
Birgit Müller: https://www.ufz.de/index.php?de=36587
Cara E Steger: https://scholar.google.com/citations?user=OYwJnvYAAAAJ&hl=en

Journal of Artificial Societies and Social Simulation, 2022, vol. 25, issue 3, 1

Abstract: Advancing equity is a complex challenge for society, science, and policy. Agent-based models are increasingly used as scientific tools to advance understanding of systems, inform decision-making, and share knowledge. Yet, equity has not received due attention within the agent-based modeling (ABM) literature. In this paper, we develop a conceptual framework and provide guidance for integrating equity considerations into ABM research and modeling practice. The framework conceptualizes ABM as interfacing with equity outcomes at two levels (the science-society interface and within the model itself) and the modeler as a filter and lens that projects knowledge between the target system and the model. Within the framework, we outline three complementary, equity-advancing action pathways: (1) engage stakeholders, (2) acknowledge positionality and bias, and (3) assess equity with agent-based models. For Pathway 1, we summarize existing guidance within the participatory modeling literature. For Pathway 2, we introduce the positionality and bias document as a tool to promote modeler and stakeholder reflexivity throughout the modeling process. For Pathway 3, we synthesize a typology of approaches for modeling equity and offer a set of preliminary suggestions for best practice. By engaging with these action pathways, modelers both reduce the risks of inadvertently perpetuating inequity and harness the opportunities for ABM to play a larger role in creating a more equitable future.

Keywords: Agent-Based Model; Fairness; Justice; Reflexivity; Best Practice; Simulation (search for similar items in EconPapers)
Date: 2022-03-31
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