presentation @ iscram 2016

A qualitative analysis of the early warning process in disaster managementFlávio E. A. Horita, MSc., CSM | [email protected] | www.flaviohorita.com | www.agora.icmc.usp.br

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A qualitative analysis of the early warning process in disaster management

Flávio E. A. Horita1, João P. Albuquerque1,3, Victor Marchezini2, Eduardo M. Mendiondo2,4

1 ICMC, University of São Paulo, Brazil2 CEMADEN, Ministry of Science, Techn. & Innovation, Brazil

3 CIM, University of Warwick, UK4 NIBH/EESC, University of São Paulo, Brazil

Pró-alertas



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Introduction

Research designResearch process

Preliminary resultsEarly warning decision-making process

Conclusions Future directions

Agenda


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Monitoring and early warning in Brazil

ANA CPRM IBGE INPE, ..

CEMADEN

CENAD

Civil Defense

Monitoring and early warning

Alerting municipalities

Response

agencies tasks

data sources

National plan for managing risks and resposes to natural disasters (2012)

Introduction


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Monitoring and early warning in Brazil

Monitoring Room

Introduction


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Research DesignResearch Methods

Define research question

Elaborate the protocol

Collect data with

practitioners

Analyze the collected

data

research process

• How is the early warning process operated by an emergency agency?• Statement: An early warning process can be modeled by means of

the Business Process Modeling and Notation (BPMN)


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Research DesignResearch Methods

Define research question

Elaborate the protocol

Collect data with

practitioners

Analyze the collected

data

Coding technique (Saldaña, 2015)

Case study approach (Yin, 2009; Runeson & Höst, 2009)

methods

research process


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Geologists

Meteorologists

Team

Hydrologits

Disaster management specialists


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Conclusions

• The role of disaster management specialist is still confusion• They should take care of tasks related to the analysis of community

vulnerability, e.g. risk analysis

• The analytical features used in the work enable the identification of practitioners' processes

• There are a lot of data available from both static and dynamic features• All these data are not integrated in a way that allows a correlation or

"what-if" analysis.

• VGI data is still not integrated into all these data


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• Brazilian Ministry of Planning, Budget and Management (2012) National plan for managing risks and resposes to natural disasters. http://goo.gl/8eJF0u.

• Object Management Group (OMG). (2013) Business Process Model and Notation (BPMN), Version 2.0 (formal/2013-12-09). [Online] http://goo.gl/ev6tUR.

• Runeson, P. and Höst, M. (2009) Guidelines for conducting and reporting case study research in software engineering. Empirical Software Engineering, pp. 131-164.

• Saldaña, J. (2012) The Coding Manual for Qualitative Researchers. 2 edition. SAGE Publications Ltd.

• Yin, R. K. (2009) Case study research: design and methods. 4. ed. Thousand Oaks: SAGE Publications, Inc.

References


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Flávio E. A. Horita, MSc., CSM PhD Student, LABES, ICMC, University of São Paulo

Member of AGORA Research [email protected]

http://www.agora.icmc.usp.br | http://www.flaviohorita.com

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presentation @ iscram 2016

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