Social science approaches in disaster research

1995 ◽  
pp. 303-310 ◽  
Author(s):  
J.M. Nigg
Keyword(s):  
Social Science ◽  
Disaster Research

scholarly journals Computational Social Science of Disasters: Opportunities and Challenges

2019 ◽  
Vol 11 (5) ◽  
pp. 103 ◽  
Author(s):  
Burger ◽  
Oz ◽  
Kennedy ◽  
Crooks
Keyword(s):  
Social Sciences ◽  
Social Science ◽  
Data Science ◽  
Open Data ◽  
Computational Social Science ◽  
Crisis Informatics ◽  
Disaster Research ◽  
Social Responses ◽  
Digital Revolution ◽  
The Social

Disaster events and their economic impacts are trending, and climate projection studies suggest that the risks of disaster will continue to increase in the near future. Despite the broad and increasing social effects of these events, the empirical basis of disaster research is often weak, partially due to the natural paucity of observed data. At the same time, some of the early research regarding social responses to disasters have become outdated as social, cultural, and political norms have changed. The digital revolution, the open data trend, and the advancements in data science provide new opportunities for social science disaster research. We introduce the term computational social science of disasters (CSSD), which can be formally defined as the systematic study of the social behavioral dynamics of disasters utilizing computational methods. In this paper, we discuss and showcase the opportunities and the challenges in this new approach to disaster research. Following a brief review of the fields that relate to CSSD, namely traditional social sciences of disasters, computational social science, and crisis informatics, we examine how advances in Internet technologies offer a new lens through which to study disasters. By identifying gaps in the literature, we show how this new field could address ways to advance our understanding of the social and behavioral aspects of disasters in a digitally connected world. In doing so, our goal is to bridge the gap between data science and the social sciences of disasters in rapidly changing environments.

What tourist business managers must learn from disaster research

2016 ◽  
Vol 14 (2) ◽  
pp. 91 ◽  
Author(s):  
Thomas E. Drabek, PhD
Keyword(s):  
Social Science ◽  
Knowledge Base ◽  
Evidence Based ◽  
Tourist Industry ◽  
Business Managers ◽  
Disaster Research ◽  
Science Knowledge ◽  
Social Science Knowledge ◽  
Emergency Managers ◽  
Survival Potential

Death and social disruption caused by disasters of varying forms will continue to increase in the future. So too will the impacts on tourism, now one of the fastest growing and largest sectors of the worldwide economy. Tourist business managers must implement evidence-based preparedness activities to enhance the survival potential and future profitability of their firms. Drawing upon recent research studies of the tourist industry during times of crisis and the broad social science knowledge base regarding human responses to disaster, seven key lessons are described. Emergency managers must facilitate the incorporation of these lessons into the culture of tourist business managers.

A Dictionary of Disaster Management

2017 ◽  
Author(s):  
Olivier Rubin ◽  
Rasmus Dahlberg
Keyword(s):  
Climate Change ◽  
Social Science ◽  
Disaster Management ◽  
Reference Source ◽  
Event Tree ◽  
Disaster Research ◽  
Event Tree Analysis ◽  
Tree Analysis ◽  
Key Concepts

Over 200 entriesThis new dictionary provides definitions of terms covering disaster research and management. It features practical terms, key concepts in disaster research from a social science perspective, and key organizations involved in disaster management, allowing readers to access definitions on the most important topics within this developing field.Terms include famine, disaster diplomacy, event-tree analysis, and humanitarian principles. Some are short and concise, while others elaborate on the history and diversity of complex concepts such as resilience or climate change. Illustrations and weblinks offer additional context and resources.This work focuses on the practical managerial dimension of disaster management and covers terms that a student of disaster management will need to understand. It is an essential reference source for students and professionals in this area.

Maximum Likelihood for Social Science

2018 ◽  
Author(s):  
Michael D. Ward ◽  
John S. Ahlquist
Keyword(s):  
Maximum Likelihood ◽  
Social Science

The Education of Research Psychologists in Sweden

2003 ◽  
Vol 8 (1) ◽  
pp. 34-38 ◽  
Author(s):  
Knut Larsson ◽  
Josef Frischer
Keyword(s):  
Social Science ◽  
Doctoral Students ◽  
Doctoral Programs ◽  
Science Department ◽  
Research Education ◽  
The Core ◽  
Social Science Department ◽  
Learning Alliance ◽  
Laissez Faire ◽  
The Government

The education of researchers in Sweden is regulated by a nationwide reform implemented in 1969, which intended to limit doctoral programs to 4 years without diminishing quality. In an audit performed by the government in 1996, however, it was concluded that the reform had failed. Some 80% of the doctoral students admitted had dropped out, and only 1% finished their PhD degree within the stipulated 4 years. In an attempt to determine the causes of this situation, we singled out a social-science department at a major Swedish university and interviewed those doctoral students who had dropped out of the program. This department was found to be representative of the nationwide figures found in the audit. The students interviewed had all completed at least 50% of their PhD studies and had declared themselves as dropouts from this department. We conclude that the entire research education was characterized by a laissez-faire attitude where supervisors were nominated but abdicated. To correct this situation, we suggest that a learning alliance should be established between the supervisor and the student. At the core of the learning alliance is the notion of mutually forming a platform form which work can emerge in common collaboration. The learning alliance implies a contract for work, stating its goals, the tasks to reach these goals, and the interpersonal bonding needed to give force and endurance to the endeavor. Constant scrutiny of this contract and a mutual concern for the learning alliance alone can contribute to its strength.

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