Abstract
Technology is both an enabler and disruptor for the UN’s 2030 Agenda for Sustainable Development. Yet few approaches integrate macro-outcomes with the micro and meso scale activities of human behavior. We instantiate an agent-based model to simulate technology diffusion within a micro-meso-macro scale integrated economy: allowing heterogenous agents to play technology enabled symmetric and asymmetric socio-economic transaction games through various random and preferential social network market typologies to simulate how behavioral technology adoption and societal proliferation impact macroeconomic income, growth and inequality dynamics. By fusing cross-scale theory and simulation modeling in a complex adaptive systems framework, such approaches could provide additional insights on the complex relationships between income, technology and inequality. These can also assist creating the necessary evidence and science-based policy conversations around why, if, how and when societies might achieve their SDG targets.
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Abdollahian, M., Chang, Y.L., Lee, YY. (2021). Technology, Growth and Inequality: An agent-based model of Micro Transactional Behaviors and Meso Technology Networks for Macroeconomic Growth. In: Nunes, I.L. (eds) Advances in Human Factors and System Interactions. AHFE 2021. Lecture Notes in Networks and Systems, vol 265. Springer, Cham. https://doi.org/10.1007/978-3-030-79816-1_5
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DOI: https://doi.org/10.1007/978-3-030-79816-1_5
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