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Navigating Complexity in Science and Society
This chapter explores the speaker's identity as a physicist and complexity scientist, emphasizing the significance of applying physics principles to dynamic systems like economics and sociology. It critiques traditional methodologies and advocates for agent-based modeling as a means to accurately represent complex interactions in fields such as supply chain dynamics and scientific publishing. The discussion highlights the importance of collaboration between scientists and policymakers, showcasing how research can directly influence societal outcomes.