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RECENT RESEARCH IN COMMUNITY DISASTER
EDUCATION AND ITS IMPLICATIONS FOR EMERGENCY
MANAGEMENT
Neil Dufty
Molino Stewart Pty Ltd, Australia1

Keywords
Learning for Disaster Resilience (LfDR), public safety, emergency management, disaster
education, social media

Abstract
Community disaster education is an integral component of emergency management around
the world. Its main goal is to promote public safety and, to a lesser extent, reduce disaster
damages. However, there has been relatively little research into the appropriateness and
effectiveness of the community disaster education programs and learning activities, including
those provided by emergency agencies. This is due largely to the general lack of evaluation of
these programs, the difficulty in isolating education as a causal factor in aspects of disaster
management performance, and disaster education not being embraced strongly by the
academic field of education.
Compounding this situation is the call by many governments around the world to build
community disaster resilience in addition to public safety, with education viewed as a critical
mechanism. There is therefore an urgent need to not only examine current community disaster
education practices based on education theory and practice, but also to align them to the
broader goal of disaster resilience.
In response, an exploratory research methodology was utilised to examine possible learning
content and processes that could be used by emergency agencies and other organisations to
design Learning for Disaster Resilience (LfDR) plans, programs and activities for local
communities.
The research found that disaster resilience learning content should not only cover
preparedness aspects, but also learning about improving recovery for people, organisations
(e.g. businesses) and communities. It found that disaster resilience learning should also
include learning about the community itself, including how to reduce vulnerabilities and
strengthen resilience.
Opportunities for disaster resilience learning were identified in four broad learning domains –
behavioural, cognitive, affective and social. The findings demonstrated that many current
disaster education programs are only using limited parts of this learning ‘spectrum’, although
this would be significantly increased by further embracing social media as a disaster
resilience learning medium.

1

Molino Stewart, PO Box 614, Parramatta CBD BC, Parramatta, NSW, Australia 2124
www.molinostewart.com.au

1
Introduction
Community disaster education is an integral component of emergency management around
the world. Its main goal is to promote public safety and, to a lesser extent, reduce disaster
damages.
Emergency agencies provide a range of educative services to people and communities
including public relations, warning communications, formal education programs (e.g. with
schools), volunteer training and community engagement. These services can be carried out by
different sections or divisions of the agencies. As a result, there is a tendency for emergency
agencies to divide disaster educative services into at least community ‘education’,
‘communications’ and ‘engagement’, each of which have slightly different processes (Dufty,
2013a). What is common with education, communications and engagement (ECE) is that they
all contribute to disaster-related learning for people, organisations (e.g. businesses) and
communities.
Although the ECE division is used by many emergency agencies in practice, the holistic term
‘disaster education’ is appropriate in strategic discussion as it is synonymous with ‘disaster
learning’. This stance is supported by the Latin roots of the word ‘education’: educare, means
‘to train or to mold’, and educere, means to ‘lead out’. Thus, in this paper the term ‘disaster
education’ will be used for all activities that lead to learning before, during and after a
disaster.
There has been considerable action in community disaster education across the world,
particularly with the advent of social media. The range of these initiatives has been wellresearched e.g. Molino Stewart (2012) categorised current disaster learning activities into four
main groups:
1. Public communications, information products and services e.g. publications, internet
sites, displays, promotional products, media liaison, advertising/marketing, social
media.
2. Training, development and industry-specific programs e.g. skills development
courses, leadership training, mentoring, emergency drilling and exercising.
3. Community engagement programs e.g. public participation programs, forums,
discussion groups, events, developing networks, social media.
4. Comprehensive personal education programs e.g. school curriculum, university
curriculum, personal development courses, action research programs, community
education courses.
However, there has been relatively little research into the appropriateness and effectiveness of
the community disaster education programs and learning activities, including those provided
by emergency agencies. This is due largely to the general lack of evaluation of these
programs (Elsworth et al, 2009) and the difficulty in isolating education as a causal factor in
aspects of disaster management performance (e.g. preparedness levels, evacuation rates,
business continuity).
The paucity of this research is also due to disaster education not being embraced strongly by
specialist educators that are versed in education theory and practice. As Preston (2012, p.1)
states “there is surprisingly little writing in the field of education/pedagogy itself”. This is
largely due to disaster education being a “new area of enquiry in the field of education”
(Preston 2012, p.1) and because many of the disaster education programs are designed by
non-educators (e.g. engineers, planners) from emergency agencies and other organisations. As
a result, there is a large amount of disaster education activity around the world with little
technical research into its educational veracity.
Compounding this issue is the call by governments around the world to build community
disaster resilience, and not only strive for public safety. The concept of resilience has been in
the disaster management literature since the 1980s (Wildavsky, 1988) but has come into
2
vogue as an overriding goal in the past decade. There are a multitude of definitions of
‘disaster resilience’. The original notion of resilience, from the Latin word resilio, means to
‘jump back’ or ‘bounce back’. According to de Bruijne, Boin and van Eeten (2010, p. 13), “In
the past decades, research on resilience has been conducted at various levels of analysis – the
individual level, the group level, and the organizational or community level – in a wide
variety of disciplines including psychology, ecology, organization and management sciences,
group/team literature and safety management”.
Several researchers (e.g. Longstaff, 2005) have made an interdisciplinary effort to further
refine the concept of resilience in relation to disaster management. However, a dilemma for
researchers and planners is whether disaster resilience should involve the ability of a
community to ‘bounce back’ (i.e. resume its normal functioning) as per the original notion, or
to ‘bounce forward’ after a disaster (Manyena et al, 2011). Some researchers such as Paton
(2006) opt for the latter notion arguing that the ‘bounce back’ idea neither captures the
changed reality after a disaster, nor encapsulates the new possibilities wrought by a disaster.
Although the academic debate continues on what precisely is disaster resilience, many
governments around the world have developed strategic policies and plans that aim to guide
countries toward achieving it. Education (learning) is seen as a critical component of most
resilience building strategies. For example, the Hyogo Framework for Action (International
Strategy for Disaster Reduction, 2005) was an outcome of the 2005 World Conference on
Disaster Reduction held in Kobe, Japan. One of its five priorities for action is using
“knowledge, innovation and education to build a culture of safety and resilience”.
In summary, there is an urgent need to not only examine current community disaster
education practices based on education theory and practice, but also to align them to the
broader goal of disaster resilience.

Theory and Method
The challenge for an examination of what could be appropriate and effective disaster
resilience education is unravelling the complexities of the relevant disaster research. Preston
(2012, p.1) notes that “the disciplinary boundaries of disaster education are fluid and the
literature on the topic can be found within the sociology of disasters, public health and health
promotion, humanitarian response, political communication and public relations”. ‘Normal’
confirmatory research used regularly in emergency management will struggle with this type
of complex strategic and conceptual examination.
Exploratory research – heavily used in marketing and the social sciences – was identified as
an appropriate research approach for this examination. According to Davies (2006, p.1),
“Exploratory research is a methodological approach that is primarily concerned with
discovery and with generating or building theory. In a pure sense, all research is exploratory.
In the social sciences exploratory research is wedded to the notion of exploration and the
researcher as explorer”. Two of its main uses are to “gain additional insights before an
approach can be developed” and to “isolate key variables and relationships for further
examination” (Bhatia, 2010).
Exploratory research is by its very nature inter-disciplinary, and as required in this
examination, should freely cast across the different social sciences. “It is precisely by
adopting, comparing, and trying out a linguistic, ethnographic, anthropological, geographical,
sociological, economical, or political science gaze that a new insight can emerge and rich
exploration can occur” (Reiter, 2013 p. 15).
Although exploratory research is more unstructured than confirmatory research, it still
requires a general framework for focus – in this case into disaster resilience learning. The
main academic fields for this research were the disaster-related social sciences – education,
psychology and sociology – along with disaster management itself. The exploration was

3
confined to a review of secondary data (e.g. papers, reports, websites) across these academic
fields.
The exploration was divided into the two components of disaster education programs: content
and process. These components are interlinked to design a learning program or activity.
Content
For ‘content’, exploration was conducted in relation to what should be included in disaster
resilience education for before, during and after an emergency or disaster. It concentrated on
the nexus between disaster risk reduction, emergency management and the dynamics of
affected communities (although there are other factors involved e.g. governance, institutions).
This strategic relationship is supported by the Australian National Climate Change Adaptation
Research Plan for Emergency Management (Pearce et al, 2009, p. 4) which states that “When
natural disasters occur, the consequences of damage and loss are a function of the
effectiveness of the disaster mitigation strategies that have been implemented, the activities of
the emergency services, and the resilience of the communities and economic sectors
affected”.
Based on this relationship, as shown in Figure 1 (before a disaster), disaster education is
located at the interfaces between both disaster risk reduction and emergency management,
and the affected individuals and communities. Disaster education is thus a learning conduit
between the organisations responsible for disaster risk reduction and emergency management
and affected individuals/communities.
Prior to a disaster, the aim of disaster risk reduction is to reduce the risk to people and
property. During and immediately after a disaster, emergency management works with
individuals and communities within the ‘residual risk’ after disaster risk reduction
interventions. For those hazards that are sudden (e.g. earthquakes, terrorist attacks), the
disaster learning may largely be derived from warning and other communications
immediately after the event. On the other hand, there is opportunity for a range of disaster
education activities to be used if there is a long warning time and/or duration of the event (e.g.
riverine floods, ‘campaign’ bushfires/wildfires).
Figure 1: Research framework for the exploration of disaster resilience education content
(before a disaster)

Disaster education

Disaster education

After a disaster, individuals rely largely on economic support (e.g. insurance, humanitarian
aid), ongoing assistance from emergency organisations, and from others in their communities.
Learning in this relationship helps in the recovery phase to return individuals and
communities to normal functioning (a key measure of resilience).

4
Process
For the ‘process’ component of the research, exploration was conducted across the robust
academic fields of disaster psychology and sociology which were then related to learning
theory to identify potential ways in which people may best learn. This research framework is
shown in Figure 2.
Central to this exploration of appropriate and potentially effective disaster resilience learning
processes is ‘learning theory’ which is derived mainly from education psychology. Theories
about human learning can be grouped into four broad ‘domains’. They are:
1. Behaviourism - focus on observable behaviour
2. Cognitive - learning as purely a mental/ neurological process
3. Affective - emotions and affect play a role in learning
4. Social - humans learn best in group activities.
Figure 2: Research framework for the exploration of disaster resilience education process
Disaster Psychology

Disaster Sociology

Learning Theories

Disaster Resilience Education

Results
Content
The exploration into the content component of disaster resilience learning found that if
disaster education provided by emergency agencies is to help build disaster resilience through
learning then it needs to not only be geared to public safety and reducing risks to property, but
also to attaining an efficient recovery to ‘bounce back’ through the post-disaster relationships.
Furthermore, to help with a ‘bounce forward’ approach to building disaster resilience,
learning should also be obtained by post-disaster evaluation conducted not only by agencies
(e.g. after action reviews) but also with impacted communities (e.g. community de-brief
meetings, resilience forums, webinars).
For weather-related hazards (e.g. flood, heatwave, drought, wildfire/bushfire), learning related
to climate change adaptation should be added, as it will impact on the other content. An
example of a program that couples climate change adaptation learning with public safety and
risk mitigation learning is described by Stevens et al (2012).
The exploration also found that the learning content of disaster resilience education plans and
programs should include both learning in response to the ‘hazard’, plus that related to the
‘host’: the at-risk people, organisations and communities.
Even though there have been great improvements (including technological) in disaster risk
reduction and emergency management over the past decade, there has been no change in the
general trend of increasing global disaster costs (Centre for Research on the Epidemiology of
Disasters, 2012). This trend can be partly attributed to climate change, but human and societal
factors appear to be a main cause (Haque and Etkin, 2012).

5
The idea of disasters being related to social systems is not new. In 1975, White and Haas
published a pioneering report on the United States’ ability to withstand and respond to natural
disasters. They found that research on disasters was dominated by physical scientists and
engineers; little attempt had been made to tap the social sciences to better understand the
economic, social and political ramifications of extreme natural events. Hewitt (1983)
suggested that too much causality was attributed to the geophysical processes: everyday
societal forces and patterns of living play a great role.
It therefore appears that people, organisations and their communities need to not only learn
how to resist and recover from the hazard, but also to reflect on and learn ways to improve
their social fabric ready for future disasters.
The research (see also Dufty, 2013b) found that this introspective societal learning should be
conducted at least across three broad areas:
1. Urban planning and landuse controls
2. Social vulnerability and resilience (including capacity-building)
3. Institutions and policies.
A summary of the potential content of disaster resilience learning resulting from the
exploration is provided in Figure 3.
Figure 3: Suggested main learning content areas for disaster resilience learning
Landuse Controls

Social Resilience

Development Planning

Policies

Social Vulnerability

Institutions

INTERNAL (‘HOST’)

LEARNING FOR
DISASTER
RESILIENCE

EXTERNAL (‘HAZARD’)

Risk

Mitigation

Preparedness

Response

Recovery

Precautions

Warning

Post-disaster
evaluation

6
Process
The exploration into the process component of disaster resilience learning identified eight
main learning theories and teaching approaches (or pedagogies) that are related to disaster
psychology and sociology. These, along with examples of relevant learning activities, are
summarised in Table 1.
Table 1: Summary of relevant disaster resilience learning theories and activities
Learning domains
Behavioural
Cognitive

Theory/Pedagogy
Programmed
instruction
Information
processing

Gestalt

Constructivist

Affective

Experiential

Social and emotional

Transformational

Social

Situated
learning/communities
of practice

Relevance
Rehearsing behaviours
required prior to a disaster
Disaster information
needs to be processed to
trigger appropriate
behaviours
Risk perception, decisionmaking, attention,
memory and problemsolving are all important
requirements for
appropriate disaster
behaviours
People construct learning
from disaster information
and experience
Prior or learned
experience is an important
factor in people’s disaster
preparedness and
resilience
Emotional factors play an
important part in people’s
preparedness and
resilience
People may need to
change to prepare
appropriately for future
disasters
Social capital has been
shown to be a major factor
in community resilience

Learning activities
Drilling, exercising,
training
Warning messages, social
media, media releases,
signage, crowdsourcing
Awareness-raising
documents and web sites
(e.g. risk, preparedness
actions), role plays related
to disaster scenarios, maps

Oral histories, social
media, diaries, personal
research
Gaming, simulations,
virtual reality training,
exercising

Workshops, social and
emotional learning
programs in schools,
resilient therapy, social
media, counselling
Role playing, disaster case
studies, mind exploration,
critical reflection
Social media, post-disaster
community meetings,
resilience forums,
community engagement

Discussion
According to Reiter (2013, p. 8), “exploratory studies allow us to think, not just to measure;
to use our imagination, experience, insight, and skill to propose new and innovative ways to
understand and interpret reality”. This has been attempted in this research to help scope a
possible new approach to disaster education called ‘Learning for Disaster Resilience’ (LfDR)
(Dufty, 2012). However, a weakness of exploratory research is that it provides no definitive
answers; thus, the research results described above require further confirmatory research and
testing.
With that limitation acknowledged, there are several potential implications of this research for
emergency agencies and other organisations involved in emergency management.

7
The research found that LfDR content should not only cover preparedness aspects, but also
learning about improving recovery for people, organisations (e.g. businesses) and
communities. It found that disaster resilience learning should also involve learning about the
community itself, including how to reduce vulnerabilities and strengthen resilience by
capacity building (e.g. social capital formation).
In relation to Figure 3, all LfDR content should be planned prior to a disaster (as far as
possible). However, climate change adaptation learning (if relevant), disaster risk learning
and disaster preparedness learning should be implemented before an event; disaster response
learning during and immediately after an event; and, disaster recovery learning and postdisaster evaluation learning after an event. The introspective societal learning should be
conducted prior to and soon after a disaster (as part of post-disaster evaluation).
Figure 3 enables specific LfDR content to be scoped for each potentially impacted community
to help build disaster resilience. This can be achieved by unpacking the learning content
segments from Figure 3. For example, the disaster preparedness learning segment in Figure 3
could be unpacked to provide the content shown in Figure 4.
Figure 4: Possible unpacking of disaster preparedness learning

The other part of the exploratory research involved looking at disaster resilience learning
process. Opportunities for disaster resilience learning were identified in four broad learning
domains – behavioural, cognitive, affective and social.
An observation from the exploration is that emergency agencies tend to rely primarily on
information provision in relation to other opportunities (refer to Table 1). This may limit
effective learning due to the possible lack of people’s motivation to seek disaster information
and the one-dimensional, top-down manner in which it is delivered. The implication of this is
that emergency managers should utilise a variety of learning activities including across those
listed in Table 1.
Also, there has been a large amount written about the role of social media in emergency
management (e.g. White, 2012; Gupta and Brooks, 2013). Table 1 supports the use of social
media by identifying its potential to assist widely across three of the broad domains of
disaster learning – cognitive, affective and social.
8
Finally, this exploratory research provides possible ‘palettes’ of content and process that can
be used when designing local LfDR plans, programs and activities. Other factors should be
then considered (e.g. community demographics, hazard risks, people’s preferred ways of
learning, learner profiles) to design tailored plans, programs and activities for communities.

Conclusion
This paper is a first attempt to explore and scope the content and learning processes that could
be used in the LfDR approach as a refinement of, and extension to, current disaster ECE
practices.
The research found that disaster resilience learning content should not only cover public
safety aspects, but also learning about improving recovery for people, organisations (e.g.
businesses) and communities. It found that disaster resilience learning should also include
learning about the community itself, including how to reduce vulnerabilities and strengthen
resilience by capacity building (e.g. social capital formation).
The other part of the exploratory research involved looking at disaster resilience learning
process. Opportunities for disaster resilience learning were identified in four broad learning
domains – behavioural, cognitive, affective and social. The findings demonstrated that many
current ECE programs are only using limited parts of this learning spectrum, although this
would be significantly increased by further embracing social media as a disaster resilience
learning medium.

References
Bhatia, M. (2010). Marketing Research. Blog for MBA Semester-III students.
http://mayankbhatiaahm.blogspot.com.au/. Last accessed 6 July 2013.
Centre for Research on the Epidemiology of Disasters (2012). Annual Disaster Statistical
Review: the numbers and trends. http://www.cred.be/publications. Last accessed 5 July 2013.
Davies, P. (2006). Exploratory Research. SAGE Dictionary of Social Research Methods.
http://srmo.sagepub.com/view/the-sage-dictionary-of-social-research-methods/n75.xml. Last
accessed 5 July 2013.
de Bruijne, M., A., Boin, A., and van Eeten, M. (2010). Resilience: Exploring the Concept
and its Meanings. In L.K. Comfort, A. Boin & C.C. Demchak (Eds.), Designing Resilience:
preparing for extreme events, Pittsburgh, USA: University of Pittsburgh Press.
Dufty, N. (2012). Learning for disaster resilience, Proceedings of the Australian & New
Zealand Disaster and Emergency Management Conference held in Brisbane, Queensland,
Australia, April 2012, pp.150-164.
Dufty, N. (2013a).The place of education in building disaster resilience: a strategic
examination. Molino Stewart occasional papers. http://works.bepress.com/neil_dufty/28
Dufty, N. (2013b).Towards a Learning for Disaster Resilience Approach: exploring content
and process. Molino Stewart occasional papers. http://works.bepress.com/neil_dufty/29/
Elsworth, G., Gilbert, J., Robinson, P., Rowe, C., and Stevens, K. (2009). National Review of
Community Education, Awareness and Engagement Programs for Natural Hazards, report by
RMIT University commissioned by the National Community Safety Working Group of the
Australian Emergency Management Committee.
Gupta, R., and Brooks, H. (2013). Using Social Media for Global Security. Indianapolis, IN:
John Wiley & Sons Inc.
Hewitt, K., ed. (1983). Interpretations of Calamity. London: Allen and Unwin Inc.

9
International Strategy for Disaster Reduction (2005). Hyogo Framework for Action 20052015: Building the Resilience of Nations and Communities to Disasters. ISDR International
Strategy for Disaster Reduction.
Longstaff, P.H. (2005). Security, resilience and communication in unpredictable
environments such as terrorism, natural disasters and complex technology. Program on
Information Resources Policy, Centre for Information Policy Research, Harvard University.
http://www.pirp.harvard.edu
Manyena, S.B., O’Brien, G., O’Keefe, P., and Rose, J. (2011). Disaster resilience; a bounce
back or a bounce forward ability? Local Environment, Vol. 16, No. 5, pp.417-424.
Molino Stewart (2012). Community flood education and awareness in Fairfield City. A report
prepared for Fairfield City Council, Sydney, Australia.
http://works.bepress.com/neil_dufty/20/
Paton, D. (2006). Disaster resilience: building capacity to co-exist with natural hazards and
their consequences. In D. Paton & D. Johnston (eds.), Disaster Resilience: An Integrated
Approach. Springfield, USA: Charles C Thomas Publishers Ltd.
Pearce T., Handmer J., Higgins J., King D., McDonald J., Pagano F., Schneider J., & Whetton
P. (2009). National Climate Change Adaptation Research Plan for Emergency Management,
National Climate Change Adaptation Research Facility, Gold Coast, Australia.
Preston, J. (2012). Disaster Education: ‘Race’, Equity and Pedagogy. Rotterdam, The
Netherlands: Sense.
Reiter, B. (2013). The Epistemology and Methodology of Exploratory Social Science
Research: Crossing Popper with Marcuse. Preliminary version forthcoming 1 April 2013 in
Reiter, B. The Dialectics of Citizenship: Exploring Privilege, Exclusion and Racialization.
http://scholarcommons.usf.edu/gia_facpub/99/
Stevens, H., Dufty, N., Waters, S., and Giles, G. (2012). Sea no Evil, Hear no Evil –
Community Engagement on Adaptation to Sea Level Change. Paper presented to the 21st
NSW Coastal Conference. Kiama, NSW, Australia. Nov. 2012.
White, C.M. (2012). Social Media, Crisis Communication, and Emergency Management:
Leveraging Web2.0 Technology. Boca Raton: CRC Press.
White, G., and Haas, E. (1975). Assessment of Research on Natural Hazards. Cambridge,
Mass.: MIT Press.
Wildavsky, A.B. (1988). Searching for safety, New Brunswick, Canada: Transaction.

Acknowledgements
The author wishes to thank Mr Steven Molino, Managing Director of Molino Stewart Pty Ltd,
for reviewing this paper and providing the opportunity to conduct the research.

Author Biography
Neil Dufty is a Principal at Molino Stewart, an environment and natural hazards consultancy
based in Parramatta, NSW, Australia. Neil is a qualified earth scientist and educator, and has
over 35 years of experience in education research, practice and evaluation. Over the past
decade, Neil has researched, designed and evaluated disaster education plans and programs
for numerous clients across Australia including the Victoria State Emergency Service, the
New South Wales State Emergency Service and the Australian Bureau of Meteorology. Neil
has also been regularly engaged to research other aspects of disaster management and
resilience-building including community warning systems and climate change adaptation.

10

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Paper - Recent research in disaster education and its implications for emergency management

  • 1. RECENT RESEARCH IN COMMUNITY DISASTER EDUCATION AND ITS IMPLICATIONS FOR EMERGENCY MANAGEMENT Neil Dufty Molino Stewart Pty Ltd, Australia1 Keywords Learning for Disaster Resilience (LfDR), public safety, emergency management, disaster education, social media Abstract Community disaster education is an integral component of emergency management around the world. Its main goal is to promote public safety and, to a lesser extent, reduce disaster damages. However, there has been relatively little research into the appropriateness and effectiveness of the community disaster education programs and learning activities, including those provided by emergency agencies. This is due largely to the general lack of evaluation of these programs, the difficulty in isolating education as a causal factor in aspects of disaster management performance, and disaster education not being embraced strongly by the academic field of education. Compounding this situation is the call by many governments around the world to build community disaster resilience in addition to public safety, with education viewed as a critical mechanism. There is therefore an urgent need to not only examine current community disaster education practices based on education theory and practice, but also to align them to the broader goal of disaster resilience. In response, an exploratory research methodology was utilised to examine possible learning content and processes that could be used by emergency agencies and other organisations to design Learning for Disaster Resilience (LfDR) plans, programs and activities for local communities. The research found that disaster resilience learning content should not only cover preparedness aspects, but also learning about improving recovery for people, organisations (e.g. businesses) and communities. It found that disaster resilience learning should also include learning about the community itself, including how to reduce vulnerabilities and strengthen resilience. Opportunities for disaster resilience learning were identified in four broad learning domains – behavioural, cognitive, affective and social. The findings demonstrated that many current disaster education programs are only using limited parts of this learning ‘spectrum’, although this would be significantly increased by further embracing social media as a disaster resilience learning medium. 1 Molino Stewart, PO Box 614, Parramatta CBD BC, Parramatta, NSW, Australia 2124 www.molinostewart.com.au 1
  • 2. Introduction Community disaster education is an integral component of emergency management around the world. Its main goal is to promote public safety and, to a lesser extent, reduce disaster damages. Emergency agencies provide a range of educative services to people and communities including public relations, warning communications, formal education programs (e.g. with schools), volunteer training and community engagement. These services can be carried out by different sections or divisions of the agencies. As a result, there is a tendency for emergency agencies to divide disaster educative services into at least community ‘education’, ‘communications’ and ‘engagement’, each of which have slightly different processes (Dufty, 2013a). What is common with education, communications and engagement (ECE) is that they all contribute to disaster-related learning for people, organisations (e.g. businesses) and communities. Although the ECE division is used by many emergency agencies in practice, the holistic term ‘disaster education’ is appropriate in strategic discussion as it is synonymous with ‘disaster learning’. This stance is supported by the Latin roots of the word ‘education’: educare, means ‘to train or to mold’, and educere, means to ‘lead out’. Thus, in this paper the term ‘disaster education’ will be used for all activities that lead to learning before, during and after a disaster. There has been considerable action in community disaster education across the world, particularly with the advent of social media. The range of these initiatives has been wellresearched e.g. Molino Stewart (2012) categorised current disaster learning activities into four main groups: 1. Public communications, information products and services e.g. publications, internet sites, displays, promotional products, media liaison, advertising/marketing, social media. 2. Training, development and industry-specific programs e.g. skills development courses, leadership training, mentoring, emergency drilling and exercising. 3. Community engagement programs e.g. public participation programs, forums, discussion groups, events, developing networks, social media. 4. Comprehensive personal education programs e.g. school curriculum, university curriculum, personal development courses, action research programs, community education courses. However, there has been relatively little research into the appropriateness and effectiveness of the community disaster education programs and learning activities, including those provided by emergency agencies. This is due largely to the general lack of evaluation of these programs (Elsworth et al, 2009) and the difficulty in isolating education as a causal factor in aspects of disaster management performance (e.g. preparedness levels, evacuation rates, business continuity). The paucity of this research is also due to disaster education not being embraced strongly by specialist educators that are versed in education theory and practice. As Preston (2012, p.1) states “there is surprisingly little writing in the field of education/pedagogy itself”. This is largely due to disaster education being a “new area of enquiry in the field of education” (Preston 2012, p.1) and because many of the disaster education programs are designed by non-educators (e.g. engineers, planners) from emergency agencies and other organisations. As a result, there is a large amount of disaster education activity around the world with little technical research into its educational veracity. Compounding this issue is the call by governments around the world to build community disaster resilience, and not only strive for public safety. The concept of resilience has been in the disaster management literature since the 1980s (Wildavsky, 1988) but has come into 2
  • 3. vogue as an overriding goal in the past decade. There are a multitude of definitions of ‘disaster resilience’. The original notion of resilience, from the Latin word resilio, means to ‘jump back’ or ‘bounce back’. According to de Bruijne, Boin and van Eeten (2010, p. 13), “In the past decades, research on resilience has been conducted at various levels of analysis – the individual level, the group level, and the organizational or community level – in a wide variety of disciplines including psychology, ecology, organization and management sciences, group/team literature and safety management”. Several researchers (e.g. Longstaff, 2005) have made an interdisciplinary effort to further refine the concept of resilience in relation to disaster management. However, a dilemma for researchers and planners is whether disaster resilience should involve the ability of a community to ‘bounce back’ (i.e. resume its normal functioning) as per the original notion, or to ‘bounce forward’ after a disaster (Manyena et al, 2011). Some researchers such as Paton (2006) opt for the latter notion arguing that the ‘bounce back’ idea neither captures the changed reality after a disaster, nor encapsulates the new possibilities wrought by a disaster. Although the academic debate continues on what precisely is disaster resilience, many governments around the world have developed strategic policies and plans that aim to guide countries toward achieving it. Education (learning) is seen as a critical component of most resilience building strategies. For example, the Hyogo Framework for Action (International Strategy for Disaster Reduction, 2005) was an outcome of the 2005 World Conference on Disaster Reduction held in Kobe, Japan. One of its five priorities for action is using “knowledge, innovation and education to build a culture of safety and resilience”. In summary, there is an urgent need to not only examine current community disaster education practices based on education theory and practice, but also to align them to the broader goal of disaster resilience. Theory and Method The challenge for an examination of what could be appropriate and effective disaster resilience education is unravelling the complexities of the relevant disaster research. Preston (2012, p.1) notes that “the disciplinary boundaries of disaster education are fluid and the literature on the topic can be found within the sociology of disasters, public health and health promotion, humanitarian response, political communication and public relations”. ‘Normal’ confirmatory research used regularly in emergency management will struggle with this type of complex strategic and conceptual examination. Exploratory research – heavily used in marketing and the social sciences – was identified as an appropriate research approach for this examination. According to Davies (2006, p.1), “Exploratory research is a methodological approach that is primarily concerned with discovery and with generating or building theory. In a pure sense, all research is exploratory. In the social sciences exploratory research is wedded to the notion of exploration and the researcher as explorer”. Two of its main uses are to “gain additional insights before an approach can be developed” and to “isolate key variables and relationships for further examination” (Bhatia, 2010). Exploratory research is by its very nature inter-disciplinary, and as required in this examination, should freely cast across the different social sciences. “It is precisely by adopting, comparing, and trying out a linguistic, ethnographic, anthropological, geographical, sociological, economical, or political science gaze that a new insight can emerge and rich exploration can occur” (Reiter, 2013 p. 15). Although exploratory research is more unstructured than confirmatory research, it still requires a general framework for focus – in this case into disaster resilience learning. The main academic fields for this research were the disaster-related social sciences – education, psychology and sociology – along with disaster management itself. The exploration was 3
  • 4. confined to a review of secondary data (e.g. papers, reports, websites) across these academic fields. The exploration was divided into the two components of disaster education programs: content and process. These components are interlinked to design a learning program or activity. Content For ‘content’, exploration was conducted in relation to what should be included in disaster resilience education for before, during and after an emergency or disaster. It concentrated on the nexus between disaster risk reduction, emergency management and the dynamics of affected communities (although there are other factors involved e.g. governance, institutions). This strategic relationship is supported by the Australian National Climate Change Adaptation Research Plan for Emergency Management (Pearce et al, 2009, p. 4) which states that “When natural disasters occur, the consequences of damage and loss are a function of the effectiveness of the disaster mitigation strategies that have been implemented, the activities of the emergency services, and the resilience of the communities and economic sectors affected”. Based on this relationship, as shown in Figure 1 (before a disaster), disaster education is located at the interfaces between both disaster risk reduction and emergency management, and the affected individuals and communities. Disaster education is thus a learning conduit between the organisations responsible for disaster risk reduction and emergency management and affected individuals/communities. Prior to a disaster, the aim of disaster risk reduction is to reduce the risk to people and property. During and immediately after a disaster, emergency management works with individuals and communities within the ‘residual risk’ after disaster risk reduction interventions. For those hazards that are sudden (e.g. earthquakes, terrorist attacks), the disaster learning may largely be derived from warning and other communications immediately after the event. On the other hand, there is opportunity for a range of disaster education activities to be used if there is a long warning time and/or duration of the event (e.g. riverine floods, ‘campaign’ bushfires/wildfires). Figure 1: Research framework for the exploration of disaster resilience education content (before a disaster) Disaster education Disaster education After a disaster, individuals rely largely on economic support (e.g. insurance, humanitarian aid), ongoing assistance from emergency organisations, and from others in their communities. Learning in this relationship helps in the recovery phase to return individuals and communities to normal functioning (a key measure of resilience). 4
  • 5. Process For the ‘process’ component of the research, exploration was conducted across the robust academic fields of disaster psychology and sociology which were then related to learning theory to identify potential ways in which people may best learn. This research framework is shown in Figure 2. Central to this exploration of appropriate and potentially effective disaster resilience learning processes is ‘learning theory’ which is derived mainly from education psychology. Theories about human learning can be grouped into four broad ‘domains’. They are: 1. Behaviourism - focus on observable behaviour 2. Cognitive - learning as purely a mental/ neurological process 3. Affective - emotions and affect play a role in learning 4. Social - humans learn best in group activities. Figure 2: Research framework for the exploration of disaster resilience education process Disaster Psychology Disaster Sociology Learning Theories Disaster Resilience Education Results Content The exploration into the content component of disaster resilience learning found that if disaster education provided by emergency agencies is to help build disaster resilience through learning then it needs to not only be geared to public safety and reducing risks to property, but also to attaining an efficient recovery to ‘bounce back’ through the post-disaster relationships. Furthermore, to help with a ‘bounce forward’ approach to building disaster resilience, learning should also be obtained by post-disaster evaluation conducted not only by agencies (e.g. after action reviews) but also with impacted communities (e.g. community de-brief meetings, resilience forums, webinars). For weather-related hazards (e.g. flood, heatwave, drought, wildfire/bushfire), learning related to climate change adaptation should be added, as it will impact on the other content. An example of a program that couples climate change adaptation learning with public safety and risk mitigation learning is described by Stevens et al (2012). The exploration also found that the learning content of disaster resilience education plans and programs should include both learning in response to the ‘hazard’, plus that related to the ‘host’: the at-risk people, organisations and communities. Even though there have been great improvements (including technological) in disaster risk reduction and emergency management over the past decade, there has been no change in the general trend of increasing global disaster costs (Centre for Research on the Epidemiology of Disasters, 2012). This trend can be partly attributed to climate change, but human and societal factors appear to be a main cause (Haque and Etkin, 2012). 5
  • 6. The idea of disasters being related to social systems is not new. In 1975, White and Haas published a pioneering report on the United States’ ability to withstand and respond to natural disasters. They found that research on disasters was dominated by physical scientists and engineers; little attempt had been made to tap the social sciences to better understand the economic, social and political ramifications of extreme natural events. Hewitt (1983) suggested that too much causality was attributed to the geophysical processes: everyday societal forces and patterns of living play a great role. It therefore appears that people, organisations and their communities need to not only learn how to resist and recover from the hazard, but also to reflect on and learn ways to improve their social fabric ready for future disasters. The research (see also Dufty, 2013b) found that this introspective societal learning should be conducted at least across three broad areas: 1. Urban planning and landuse controls 2. Social vulnerability and resilience (including capacity-building) 3. Institutions and policies. A summary of the potential content of disaster resilience learning resulting from the exploration is provided in Figure 3. Figure 3: Suggested main learning content areas for disaster resilience learning Landuse Controls Social Resilience Development Planning Policies Social Vulnerability Institutions INTERNAL (‘HOST’) LEARNING FOR DISASTER RESILIENCE EXTERNAL (‘HAZARD’) Risk Mitigation Preparedness Response Recovery Precautions Warning Post-disaster evaluation 6
  • 7. Process The exploration into the process component of disaster resilience learning identified eight main learning theories and teaching approaches (or pedagogies) that are related to disaster psychology and sociology. These, along with examples of relevant learning activities, are summarised in Table 1. Table 1: Summary of relevant disaster resilience learning theories and activities Learning domains Behavioural Cognitive Theory/Pedagogy Programmed instruction Information processing Gestalt Constructivist Affective Experiential Social and emotional Transformational Social Situated learning/communities of practice Relevance Rehearsing behaviours required prior to a disaster Disaster information needs to be processed to trigger appropriate behaviours Risk perception, decisionmaking, attention, memory and problemsolving are all important requirements for appropriate disaster behaviours People construct learning from disaster information and experience Prior or learned experience is an important factor in people’s disaster preparedness and resilience Emotional factors play an important part in people’s preparedness and resilience People may need to change to prepare appropriately for future disasters Social capital has been shown to be a major factor in community resilience Learning activities Drilling, exercising, training Warning messages, social media, media releases, signage, crowdsourcing Awareness-raising documents and web sites (e.g. risk, preparedness actions), role plays related to disaster scenarios, maps Oral histories, social media, diaries, personal research Gaming, simulations, virtual reality training, exercising Workshops, social and emotional learning programs in schools, resilient therapy, social media, counselling Role playing, disaster case studies, mind exploration, critical reflection Social media, post-disaster community meetings, resilience forums, community engagement Discussion According to Reiter (2013, p. 8), “exploratory studies allow us to think, not just to measure; to use our imagination, experience, insight, and skill to propose new and innovative ways to understand and interpret reality”. This has been attempted in this research to help scope a possible new approach to disaster education called ‘Learning for Disaster Resilience’ (LfDR) (Dufty, 2012). However, a weakness of exploratory research is that it provides no definitive answers; thus, the research results described above require further confirmatory research and testing. With that limitation acknowledged, there are several potential implications of this research for emergency agencies and other organisations involved in emergency management. 7
  • 8. The research found that LfDR content should not only cover preparedness aspects, but also learning about improving recovery for people, organisations (e.g. businesses) and communities. It found that disaster resilience learning should also involve learning about the community itself, including how to reduce vulnerabilities and strengthen resilience by capacity building (e.g. social capital formation). In relation to Figure 3, all LfDR content should be planned prior to a disaster (as far as possible). However, climate change adaptation learning (if relevant), disaster risk learning and disaster preparedness learning should be implemented before an event; disaster response learning during and immediately after an event; and, disaster recovery learning and postdisaster evaluation learning after an event. The introspective societal learning should be conducted prior to and soon after a disaster (as part of post-disaster evaluation). Figure 3 enables specific LfDR content to be scoped for each potentially impacted community to help build disaster resilience. This can be achieved by unpacking the learning content segments from Figure 3. For example, the disaster preparedness learning segment in Figure 3 could be unpacked to provide the content shown in Figure 4. Figure 4: Possible unpacking of disaster preparedness learning The other part of the exploratory research involved looking at disaster resilience learning process. Opportunities for disaster resilience learning were identified in four broad learning domains – behavioural, cognitive, affective and social. An observation from the exploration is that emergency agencies tend to rely primarily on information provision in relation to other opportunities (refer to Table 1). This may limit effective learning due to the possible lack of people’s motivation to seek disaster information and the one-dimensional, top-down manner in which it is delivered. The implication of this is that emergency managers should utilise a variety of learning activities including across those listed in Table 1. Also, there has been a large amount written about the role of social media in emergency management (e.g. White, 2012; Gupta and Brooks, 2013). Table 1 supports the use of social media by identifying its potential to assist widely across three of the broad domains of disaster learning – cognitive, affective and social. 8
  • 9. Finally, this exploratory research provides possible ‘palettes’ of content and process that can be used when designing local LfDR plans, programs and activities. Other factors should be then considered (e.g. community demographics, hazard risks, people’s preferred ways of learning, learner profiles) to design tailored plans, programs and activities for communities. Conclusion This paper is a first attempt to explore and scope the content and learning processes that could be used in the LfDR approach as a refinement of, and extension to, current disaster ECE practices. The research found that disaster resilience learning content should not only cover public safety aspects, but also learning about improving recovery for people, organisations (e.g. businesses) and communities. It found that disaster resilience learning should also include learning about the community itself, including how to reduce vulnerabilities and strengthen resilience by capacity building (e.g. social capital formation). The other part of the exploratory research involved looking at disaster resilience learning process. Opportunities for disaster resilience learning were identified in four broad learning domains – behavioural, cognitive, affective and social. The findings demonstrated that many current ECE programs are only using limited parts of this learning spectrum, although this would be significantly increased by further embracing social media as a disaster resilience learning medium. References Bhatia, M. (2010). Marketing Research. Blog for MBA Semester-III students. http://mayankbhatiaahm.blogspot.com.au/. Last accessed 6 July 2013. Centre for Research on the Epidemiology of Disasters (2012). Annual Disaster Statistical Review: the numbers and trends. http://www.cred.be/publications. Last accessed 5 July 2013. Davies, P. (2006). Exploratory Research. SAGE Dictionary of Social Research Methods. http://srmo.sagepub.com/view/the-sage-dictionary-of-social-research-methods/n75.xml. Last accessed 5 July 2013. de Bruijne, M., A., Boin, A., and van Eeten, M. (2010). Resilience: Exploring the Concept and its Meanings. In L.K. Comfort, A. Boin & C.C. Demchak (Eds.), Designing Resilience: preparing for extreme events, Pittsburgh, USA: University of Pittsburgh Press. Dufty, N. (2012). Learning for disaster resilience, Proceedings of the Australian & New Zealand Disaster and Emergency Management Conference held in Brisbane, Queensland, Australia, April 2012, pp.150-164. Dufty, N. (2013a).The place of education in building disaster resilience: a strategic examination. Molino Stewart occasional papers. http://works.bepress.com/neil_dufty/28 Dufty, N. (2013b).Towards a Learning for Disaster Resilience Approach: exploring content and process. Molino Stewart occasional papers. http://works.bepress.com/neil_dufty/29/ Elsworth, G., Gilbert, J., Robinson, P., Rowe, C., and Stevens, K. (2009). National Review of Community Education, Awareness and Engagement Programs for Natural Hazards, report by RMIT University commissioned by the National Community Safety Working Group of the Australian Emergency Management Committee. Gupta, R., and Brooks, H. (2013). Using Social Media for Global Security. Indianapolis, IN: John Wiley & Sons Inc. Hewitt, K., ed. (1983). Interpretations of Calamity. London: Allen and Unwin Inc. 9
  • 10. International Strategy for Disaster Reduction (2005). Hyogo Framework for Action 20052015: Building the Resilience of Nations and Communities to Disasters. ISDR International Strategy for Disaster Reduction. Longstaff, P.H. (2005). Security, resilience and communication in unpredictable environments such as terrorism, natural disasters and complex technology. Program on Information Resources Policy, Centre for Information Policy Research, Harvard University. http://www.pirp.harvard.edu Manyena, S.B., O’Brien, G., O’Keefe, P., and Rose, J. (2011). Disaster resilience; a bounce back or a bounce forward ability? Local Environment, Vol. 16, No. 5, pp.417-424. Molino Stewart (2012). Community flood education and awareness in Fairfield City. A report prepared for Fairfield City Council, Sydney, Australia. http://works.bepress.com/neil_dufty/20/ Paton, D. (2006). Disaster resilience: building capacity to co-exist with natural hazards and their consequences. In D. Paton & D. Johnston (eds.), Disaster Resilience: An Integrated Approach. Springfield, USA: Charles C Thomas Publishers Ltd. Pearce T., Handmer J., Higgins J., King D., McDonald J., Pagano F., Schneider J., & Whetton P. (2009). National Climate Change Adaptation Research Plan for Emergency Management, National Climate Change Adaptation Research Facility, Gold Coast, Australia. Preston, J. (2012). Disaster Education: ‘Race’, Equity and Pedagogy. Rotterdam, The Netherlands: Sense. Reiter, B. (2013). The Epistemology and Methodology of Exploratory Social Science Research: Crossing Popper with Marcuse. Preliminary version forthcoming 1 April 2013 in Reiter, B. The Dialectics of Citizenship: Exploring Privilege, Exclusion and Racialization. http://scholarcommons.usf.edu/gia_facpub/99/ Stevens, H., Dufty, N., Waters, S., and Giles, G. (2012). Sea no Evil, Hear no Evil – Community Engagement on Adaptation to Sea Level Change. Paper presented to the 21st NSW Coastal Conference. Kiama, NSW, Australia. Nov. 2012. White, C.M. (2012). Social Media, Crisis Communication, and Emergency Management: Leveraging Web2.0 Technology. Boca Raton: CRC Press. White, G., and Haas, E. (1975). Assessment of Research on Natural Hazards. Cambridge, Mass.: MIT Press. Wildavsky, A.B. (1988). Searching for safety, New Brunswick, Canada: Transaction. Acknowledgements The author wishes to thank Mr Steven Molino, Managing Director of Molino Stewart Pty Ltd, for reviewing this paper and providing the opportunity to conduct the research. Author Biography Neil Dufty is a Principal at Molino Stewart, an environment and natural hazards consultancy based in Parramatta, NSW, Australia. Neil is a qualified earth scientist and educator, and has over 35 years of experience in education research, practice and evaluation. Over the past decade, Neil has researched, designed and evaluated disaster education plans and programs for numerous clients across Australia including the Victoria State Emergency Service, the New South Wales State Emergency Service and the Australian Bureau of Meteorology. Neil has also been regularly engaged to research other aspects of disaster management and resilience-building including community warning systems and climate change adaptation. 10