Workshop @ CEMADEN

Preliminary results from a qualitative analysis within the monitoring room at the CEMADEN: an emphasis on
the issuing of early warning | Flávio E. A. Horita, MSc., CSM | horita@icmc.usp.br | www.flaviohorita.com
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Preliminary results from a qualitative analysis
within the monitoring room at the CEMADEN: an
emphasis on the issuing of early warning
Flávio E. A. Horita, MSc., CSM
PhD Student, LABES, ICMC, University of São Paulo
Member of AGORA Research Group
horita@icmc.usp.br
http://www.agora.icmc.usp.br | http://www.flaviohorita.com
Pró-alertas

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Flávio Horita
 PhD candidate in Computer Science, ICMC/USP
 Research-stay, ERCIS, Münster University
 MSc in Computer Science, UEL in 2013
 Specialist in Software Engineering, UNIFIL in 2012
 BSc in Information Systems, UNILINS in 2009
 Research interests:
 Decision Support Systems
 Crowdsourcing and Volunteered Geographic Information (VGI)
 Disaster and Emergency Management

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Static Sensors
Mobile Sensors
Citizens as sensors
Dynamic
Sensor
Management
Crowd
Sensing
Social Media
Information
Fusion and
Management
Decision
Support
Citizen
Engagement
Information
Quality
Assurance
Citizens
AGORA
Acquisition Integration Application
Social
Information
Sharing
Collaborative
Mapping
Semantic
Enrichment &
Fusion
Collaborative
Maps
VGI
Environmental
Modelling
Scientists
Decision Makers

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Agenda
• Introduction
• Recap & Research Work
• Preliminary Results
• Future Directions

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Agenda
• Introduction

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Source: Elwood (2008); Goodchild & Glennon (2010); Niko et al., (2011); DeLongueville et al. (2012); Horita et al.
(2013); Haworth & Bruce (2015)
Hard sensors Exploratory teams
Social Media Collaborative Platforms
Disaster Management & Data sources & Volunteered geographic
information
A lot of data about
disasters
Unstructured
data
Raw data w/
different formats
Introduction

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Introduction
Disaster Management & Data sources & Volunteered geographic
information
All these data are not integrated into the decision-making
Source: Crowley and Chan (2011); Tapia and Moore (2014); Vieweg et al. (2014); Horita et al. (2015)

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Introduction
Business Process Model and Notation Lifecycle

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Introduction
BPMN & DMN

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Introduction
DMN

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Introduction
Integrated Model -oDMN
It connects the
available data to
business processes

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Agenda
• Introduction

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Recap
Objective of First Visit to CEMADEN
Model the early
warning decision-
making process
Monitoring Room

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Interviews Participant
Observations
Recap
Research Methods

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• 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)
Research Methods
Define
research
question
Elaboration
of the
protocol
Collection
of data
Analyze the
collected
data
Research Work

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Research Methods
Define
research
question
Elaboration
of the
protocol
Collection
of data
Analyze the
collected
data
• Qualitative analysis in the Brazilian context
• Background:
• Case study approach (Yin, 2009; Runeson & Höst, 2009)
• Coding techniques (Saldaña, 2015)
• Analytical features
• Concepts from Business Process Model and Notation (BPMN)
Research Work

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Research Methods
Define
research
question
Elaboration
of the
protocol
Collection
of data
Analyze the
collected
data
• Participatory observations in the monitoring room on January 20th,
2016
• Semi-structured interviews with members of the monitoring room on
January 20th-22nd, 2016 and February 1st-5th, 2016.
• 10 members (2 geologists, 2 hydrologists, 2 meteorologists, 4
disaster management specialists)
• Four different teams
Research Work

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• Transcription verbatim of the interviews (Saldaña, 2015)
• 8 interviews (2 geologists, 2 hydrologists, 2 meteorologists, 2
disaster management specialists)
• Coding each transcription
• Use the analytical features
• Raise the conceptual elements
Research Methods
Define
research
question
Elaboration
of the
protocol
Collection
of data
Analyze the
collected
data
Research Work

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Agenda
• Introduction

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Preliminary Results
Participants
Role Experience CEMADEN Temp. Degree Area
Metereologist > 3 years > 3 year YES PhD Meteorology
Metereologist > 3 years > 3 year YES MSc Meteorology
Geologist > 1 year, <= 3 years <= 2 year NO MSc Geography
Geologist > 3 years > 3 year YES MSc Geography
Hydrologist > 1 year, <= 3 years <= 2 year NO MSc Environmetal Engineering
Disaster
Management
> 3 years > 3 year YES PhD Meteorology
Hydrologist > 1 year, <= 3 years <= 2 year NO PhD Civil Engineering
Disaster
Management
> 1 year, <= 3 years > 3 year YES PhD Remote Sensing

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Preliminary results
Early warning decision-making process

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Preliminary results

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Preliminary results

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Preliminary results
Geologists
Meteorologists
Team
Hydrologits
Disaster management
specialists

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Preliminary results

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Agenda
• Introduction

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Future Directions
Contributions to CEMADEN
Guidelines
Reference Task Model
Undestanding the
CEMADEN processes
Process Improvement
75%

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Preliminary results from a qualitative analysis
within the monitoring room at the CEMADEN: an
emphasis on the issuing of early warning
Flávio E. A. Horita, MSc., CSM
PhD Student, LABES, ICMC, University of São Paulo
Member of AGORA Research Group
horita@icmc.usp.br
http://www.agora.icmc.usp.br | http://www.flaviohorita.com
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