We estimate the resilience of US society using lareg scale surveys, such as the GSS over time. We use the quasinet tool to infer digital twins of the surveys, and then estimate how fast each model recovers from perturbations. This rate of recovery, quantified as the physical time-constant of the dynamics, gioves us a quantitative estimate of resilience.
zeroknowledgediscovery/qresilience
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estimating metrics of societal resilience using inferred digital twins of large scale surveys
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