Details zur Publikation

Referenztyp Zeitschriften
DOI / URL Link
Creative Commons Lizenz creative commons licence
Titel (primär) Integrating equity considerations into agent-based modeling: A conceptual framework and practical guidance
Autor Williams, T.G.; Brown, D.G.; Guikema, S.D.; Logan, T.M.; Magliocca, N.R.; Müller, B.; Steger, C.E.
Journal / Serie JASSS-The Journal of Artificial Societies and Social Simulation
Erscheinungsjahr 2022
Department OESA
Band/Volume 25
Heft 3
Seite von art. 1
Sprache englisch
Topic T5 Future Landscapes
Supplements https://www.jasss.org/25/3/1/SI3.pdf
https://www.jasss.org/25/3/1/S1_-_positionality_and_bias_template.docx
Keywords highlight; Agent-Based Model; Fairness; Justice; Reflexivity; Best Practice; Simulation
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.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=25966
Williams, T.G., Brown, D.G., Guikema, S.D., Logan, T.M., Magliocca, N.R., Müller, B., Steger, C.E. (2022):
Integrating equity considerations into agent-based modeling: A conceptual framework and practical guidance
JASSS 25 (3), art. 1