Integrating Equity Considerations into Agent-Based Modeling: A Conceptual Framework and Practical Guidance
dc.contributor.author | Williams TG | |
dc.contributor.author | Brown DG | |
dc.contributor.author | Guikema SD | |
dc.contributor.author | Magliocca NR | |
dc.contributor.author | Müller B | |
dc.contributor.author | Steger CE | |
dc.contributor.author | Logan, Thomas | |
dc.date.accessioned | 2022-08-10T05:39:18Z | |
dc.date.available | 2022-08-10T05:39:18Z | |
dc.date.issued | 2022 | en |
dc.date.updated | 2022-07-17T08:51:26Z | |
dc.description.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 ffer 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. | en |
dc.identifier.citation | Williams TG, Brown DG, Guikema SD, Logan TM, Magliocca NR, Müller B, Steger CE Integrating Equity Considerations into Agent-Based Modeling: A Conceptual Framework and Practical Guidance. Journal of Artificial Societies and Social Simulation. 25(3). | en |
dc.identifier.doi | http://doi.org/10.18564/jasss.4816 | |
dc.identifier.issn | 1460-7425 | |
dc.identifier.uri | https://hdl.handle.net/10092/104133 | |
dc.language | en | |
dc.language.iso | en | en |
dc.publisher | Journal of Artificial Societies and Social Simulation | en |
dc.rights | All rights reserved unless otherwise stated | en |
dc.rights.uri | http://hdl.handle.net/10092/17651 | en |
dc.subject | Agent-Based Model | en |
dc.subject | Fairness | en |
dc.subject | Justice | en |
dc.subject | Reflexivity | en |
dc.subject | Best Practice | en |
dc.subject | Simulation | en |
dc.subject.anzsrc | 0406 Physical Geography and Environmental Geoscience | en |
dc.subject.anzsrc | 0801 Artificial Intelligence and Image Processing | en |
dc.subject.anzsrc | 1608 Sociology | en |
dc.subject.anzsrc | Fields of Research::46 - Information and computing sciences::4602 - Artificial intelligence::460202 - Autonomous agents and multiagent systems | en |
dc.subject.anzsrc | Fields of Research::46 - Information and computing sciences::4602 - Artificial intelligence::460207 - Modelling and simulation | en |
dc.subject.anzsrc | Fields of Research::44 - Human society::4410 - Sociology::441012 - Sociology of inequalities | en |
dc.subject.anzsrc | Fields of Research::50 - Philosophy and religious studies::5001 - Applied ethics::500103 - Ethical use of new technology | en |
dc.subject.anzsrc | Fields of Research::40 - Engineering::4010 - Engineering practice and education::401004 - Humanitarian engineering | en |
dc.title | Integrating Equity Considerations into Agent-Based Modeling: A Conceptual Framework and Practical Guidance | en |
dc.type | Journal Article | en |
uc.college | Faculty of Engineering | |
uc.department | Civil and Natural Resources Engineering |
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