2018
DOI: 10.1007/978-3-319-75453-6_20
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Data-Intensive Alternatives for Human Adaptation to Coastal Change

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Cited by 1 publication
(2 citation statements)
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“…In other cases, a data-intensive application may be required to provide rapid dissemination of information to emergency managers. Data from geographical information systems (GIS), data archives, citizen scientists, and artificial intelligence will ultimately be needed for purposes of adaptive management [113]. Another important, but conventional, role for information technology teams is likely to involve facilitation of virtual workshops.…”
mentioning
confidence: 99%
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“…In other cases, a data-intensive application may be required to provide rapid dissemination of information to emergency managers. Data from geographical information systems (GIS), data archives, citizen scientists, and artificial intelligence will ultimately be needed for purposes of adaptive management [113]. Another important, but conventional, role for information technology teams is likely to involve facilitation of virtual workshops.…”
mentioning
confidence: 99%
“…It must be emphasized, however, that having a network that enables the sharing and communication of information that is readily understood by the public does not negate the parallel, and essential, need for high performance computing (HPC) resources that can serve the needs of data-intensive analyses including artificial intelligence and advanced complex systems modeling. Such advanced capabilities will underpin future quantitative predictions of the many interconnections among the myriad physical, ecological, and socioeconomic factors that will govern future resilience of LECZ regions [113]. Application of complex, transdisciplinary community models that account for the often non-linear and multi-directional linkages among the social sciences, ocean sciences, atmospheric sciences, ecosystem sciences and coastal engineering will ultimately provide the long-range adaptive management guidance that will be needed [30].…”
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confidence: 99%