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Crisisonomy

Improving Crisis & Emergency Management Capability of Government by Using Big Data Technology - China’s Response to the COVID-19 -

원문정보

Linpei Zhai, Jae Eun Lee

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초록

영어

The purpose of this study is to review the way how to use big data to improve the government’s crisis & emergency management capability to respond to public health crises and to suggest the future directions for improving the scientific application of big data analysis. This study classifies the specific manifestations of big data during the COVID-19 epidemic, and analyzes the advantages of using big data. Using big data to improve the government’s crisis management capabilities is mainly reflected in the following aspects: advancement of precision in response to the epidemic; promotion of the government’s internal and external cooperation; enhancement of the ability to respond to internet public opinion; promotion of the transformation of public decision-making from traditional experience to intelligent and scientific. In order to better integrate big data with public crisis governance, this study is concluded with a discussion of suggestions: improvement of big data application capabilities; enhancement of big data governance; people-oriented and paying attention to internet public opinion; innovation of public decision-making methods for big data governance.

목차

Abstract
Ⅰ. Introduction
Ⅱ. Theoretical Background
1. Big Data
2. Disaster Management and Big Data
3. Literature Review
4. Analytical Framework
Ⅲ. The Specific Manifestations of Big Data during the COVID-19 Epidemic
1. The COVID-19 Epidemic Data
2. Medical Data
3. Telecom operator big data
4. Smart city big data
Ⅳ. How to Use Big Data for Improving the Government’s Crisis & Emergency Management Capability during the COVID-19 Epidemic
1. Advancement of precision in response to the epidemic
2. Promotion of the Government’s Internal and External Cooperation
3. Enhancement of the Ability to Respond to Internet Public Opinion
4. Promotion of the Transformation of Public Decision-making from Traditional Experience to Intelligent and Scientific
Ⅴ. Future Directions: Big Data for COVID-19
1. Improvement of Big Data Application Capabilities
2. Enhancement of Big Data Governance
3. People-oriented and Paying Attention to Internet Public Opinion
4. Innovation of Public Decision-making Methods for Big Data Governance
Ⅵ. Conclusion
Acknowledgement
References

저자정보

  • Linpei Zhai Department of Public Administration & National Crisisonomy Institute, Chungbuk National University
  • Jae Eun Lee Department of Public Administration & National Crisisonomy Institute, Chungbuk National University

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