Application of digital twins? Current science is not so well matured but is good enough for digital twins when coupled with AI and deep learning. My concerns are with the models deployed. Models are created based on past data, mathematics, and understanding, and may be unable to address the dynamics and the constantly evolving interrelationships and feedback loops of interconnected entities. This could impact the accuracy of projections and assessments of impacts. We also need to bring resiliency into the discussion, which bears many meanings. Does being resilient mean going back to the status quo, attaining equilibrium, or should we focus on being future-ready or proofing as the new yardstick?
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