Computational Social Science of Disasters: Opportunities and Challenges
Abstract
:1. Introduction
2. The Role of Social Science in Disaster Research
2.1. Sociology
2.2. Psychology
2.3. Anthropology
2.4. Political Science
2.5. Economics
2.6. Summary
3. Computational Social Science
3.1. Information Retrieval and Open Data Systems
3.2. Complexity and Simulations
3.3. Social Networks and Geospatial Analysis
3.4. Online Crowdsourcing and Field Experiments
4. Crisis Informatics
- “includes empirical study as well as socially and behaviorally conscious ICT development and deployment [182]”,
- “strives for socially and behaviorally informed development of ICT for crisis situations [181]”,
- “investigate[s] socio-technical interactions that occur during times of extreme crisis with an eye towards developing ways to support the mitigation of suffering [190]”, and
- “is dedicated to finding methods for sharing the right information in a timely fashion during [significant crises] [191].”
5. Computational Social Science of Disasters
5.1. Interactions Among the Components of CSSD
5.2. Challenges and Opportunities
6. Summary and Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Burger, A.; Oz, T.; Kennedy, W.G.; Crooks, A.T. Computational Social Science of Disasters: Opportunities and Challenges. Future Internet 2019, 11, 103. https://doi.org/10.3390/fi11050103
Burger A, Oz T, Kennedy WG, Crooks AT. Computational Social Science of Disasters: Opportunities and Challenges. Future Internet. 2019; 11(5):103. https://doi.org/10.3390/fi11050103
Chicago/Turabian StyleBurger, Annetta, Talha Oz, William G. Kennedy, and Andrew T. Crooks. 2019. "Computational Social Science of Disasters: Opportunities and Challenges" Future Internet 11, no. 5: 103. https://doi.org/10.3390/fi11050103