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Hyun-Jae Shin

Biographic Data

ID4773945
NAMEHyun-Jae Shin
GIVEN NAMESHyun-Jae
FAMILY NAMEShin
SIGNATURESHIN H
AFFILIATIONSSeoul National University
ORCID0000-0001-9452-7687
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS2
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Intercrisis learning in disaster response network

    Ran Kim, Hyun-Jae Shin et al.•ARTICLE•Asian Journal of Political Science•2023•Cited by: 2•References: 39

    This paper critically reviews whether the hierarchical system or intercrisis learning can be sufficient to understand Korea's COVID-19 responses. Our case study suggests that a Korean response system is a hybrid form that uses a hierarchical structure together with a network approach. To unveil theoretical models of how learning may occur and evolve during a crisis, we employ a policy learning model combining the network perspective and the four …

  • Intercrisis learning in disaster response network

    Ran Kim, Hyun-Jae Shin et al.•ARTICLE•Asian Journal of Political Science•2023•Cited by: 2•References: 39

    This paper critically reviews whether the hierarchical system or intercrisis learning can be sufficient to understand Korea's COVID-19 responses. Our case study suggests that a Korean response system is a hybrid form that uses a hierarchical structure together with a network approach. To unveil theoretical models of how learning may occur and evolve during a crisis, we employ a policy learning model combining the network perspective and the four …

  • Intercrisis learning in disaster response network

    Ran Kim, Hyun-Jae Shin et al.•ARTICLE•Asian Journal of Political Science•2023•Cited by: 2•References: 39

    This paper critically reviews whether the hierarchical system or intercrisis learning can be sufficient to understand Korea's COVID-19 responses. Our case study suggests that a Korean response system is a hybrid form that uses a hierarchical structure together with a network approach. To unveil theoretical models of how learning may occur and evolve during a crisis, we employ a policy learning model combining the network perspective and the four …

Artificial Intelligence (1 works) · Cognition (1 works) · Computer Science (1 works) · Control (management (1 works) · Coronavirus disease 2019 (COVID-19 (1 works) · Disaster Management and Resilience (1 works) · Disaster response (1 works) · Disaster Response and Management (1 works) · Emergency management (1 works) · Flood Risk Assessment and Management (1 works)

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