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Thinking fast and slow in disaster decision-making with Smart City Digital Twins

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Many cities are vulnerable to disaster-related mortality and economic loss. Smart City Digital Twins can be used to facilitate disaster decision-making and influence policy, but first they must accurately capture, predict, and adapt to the city’s dynamics, including the varying pace at which changes unfold.

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Fig. 1: Fast and slow disaster decision-making dynamics.

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Acknowledgements

This material is based upon work supported by the National Science Foundation (NSF) (grant numbers 1760645, 1837021, and 1929928 to J.E.T. and N.M.). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of NSF.

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Authors and Affiliations

  1. School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA

    Neda Mohammadi & John E. Taylor

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  1. Neda Mohammadi
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  2. John E. Taylor
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Contributions

N.M. and J.E.T. conceived and designed the research, wrote the first draft, edited the manuscript, contributed to revisions, and approved the manuscript.

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Correspondence to John E. Taylor.

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Mohammadi, N., Taylor, J.E. Thinking fast and slow in disaster decision-making with Smart City Digital Twins. Nat Comput Sci 1, 771–773 (2021). https://doi.org/10.1038/s43588-021-00174-0

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