This presentation was given at the Winter Doctoral Seminar of the Chair of Supply Chain Management and Information Systems. It presents the achievements from my one-year research stay at the European Research Center for Information Systems of the Münster University in Germany under supervision of Prof. Dr.-Ing. Bernd Hellingrath.

1. The use of VGI and SDSS for supporting decision-making in disaster management
Flávio E. A. Horita, MSc.
1
2015-12-9
*
*
The use of volunteered geographic
information and spatial decision support
systems for supporting decision-making in
disaster management
Flávio E. A. Horita, MSc.
PhD Student, LABES, ICMC, University of São Paulo
Visiting PhD Student, ERCIS, Münster University
Advisor: Prof. Dr. João Porto de Albuquerque
Supervisor: Prof. Dr.-Ing. Bernd Hellingrath
project achievements

2. The use of VGI and SDSS for supporting decision-making in disaster management
Flávio E. A. Horita, MSc.
2
2015-12-9
• Introduction
• Research Design
• Research Achievements
AGENDA

3. The use of VGI and SDSS for supporting decision-making in disaster management
Flávio E. A. Horita, MSc.
3
2015-12-9
introduction
Research Areas
Disaster
Management
Heterogeneous
Data Sources
Spatial
Decision
Support
Systems

4. The use of VGI and SDSS for supporting decision-making in disaster management
Flávio E. A. Horita, MSc.
4
2015-12-9
introduction
Research context
 Brazil (before Münster)
 Computer Science
 Information Systems
 Decision Support System
 Data Collection
 esp. Collaborative Platforms
and Wireless Sensor Network
 Missing..
 Decision-makers’ tasks and
requirements
Horita, F. E. A. et al.. Development of a spatial decision support system for flood risk management in Brazil that
combines volunteered geographic information with wireless sensor networks. Computers & Geosciences, 80, pp. 84-
94, 2015. DOI:10.1016/j.cageo.2015.04.001.

5. The use of VGI and SDSS for supporting decision-making in disaster management
Flávio E. A. Horita, MSc.
5
2015-12-9
introduction
Research context
 Brazil
 Computer Science
 Information Systems
 Decision Support System
 Data Collection
 esp. Collaborative Platforms
and Wireless Sensor Network
 Missing..
 Decision-makers’ tasks and
requirements
Germany
 Humanitarian Logistics
 Blecken’s Reference Task
Model
 Practitioners’ knowledge
 Business Process Modelling
 BPMN (DMN afterwards)
 Mobile Data Collection
 GDACSmobile
(before Münster)

6. The use of VGI and SDSS for supporting decision-making in disaster management
Flávio E. A. Horita, MSc.
6
2015-12-9
• Introduction
• Research Design
• Research Achievements
AGENDA

7. The use of VGI and SDSS for supporting decision-making in disaster management
Flávio E. A. Horita, MSc.
7
2015-12-9
 MRQ: How can the integration of heterogeneous data
sources contribute to the improvement of decision-
making in disaster management?
 SQ1: How can heterogeneous data sources be integrated
in real-time?
 SQ2: How can tasks and decisions be formally connected
to data sources?
 SQ3: How can decision-making in disaster management
be improved by the formally connection of tasks and
decisions to data sources?
Research Design
Questions
SQ1
SQ2
SQ3

8. The use of VGI and SDSS for supporting decision-making in disaster management
Flávio E. A. Horita, MSc.
8
2015-12-9
VGI
Data Source
Layer
In-situ
sensors
Rainfall
gauge
Meteorol
-ogical
stations
Integration
Data Integration
Layer
Application
Layer
Visualization
SDSS
Business Layer
uses
supports
links
uses
supports
supports
requests
supports
providesprovides
Integration
Visualization
uses
supports
supports
requests
supports
Decision-making Process
links
Research design
Conceptual framework
Horita, F. E. A.; Albuquerque, J. P. An
Approach to Support Decision-Making in
Disaster Management based on VGI and SDSS.
In: 10th International ISCRAM Conference,
Baden-Baden, Germany, 2013. p. 301-306.
Decision
Support
Server
O2
O3
O1
Global agencies (e.g.
OCHA)
Local agencies (e.g.
CEMADEN)

9. The use of VGI and SDSS for supporting decision-making in disaster management
Flávio E. A. Horita, MSc.
9
2015-12-9
Research design
methodology
Main Outcome Partial Outcome Inputs Validation
An approach which
combines
information
provided by
heterogeneous
data sources in
near real-time and
supports decisions
taken by
emergency
agencies in
disasters
A method for matching
tasks, information needed,
and data sources
A visualization approach
for improving decision-
making based on the
decision-makers’
requirements
An approach for
integrating heterogeneous
data sources based on
decision-makers’
requirements
Reference Task
Model, Business
Process Modelling
Notation
Visual Analytics,
Software
Engineering,
Design Science
Research
Process-Driven
SOA
Development*,
Ontologies, Micro
Services**, Design
Science Research
Instantiation using
guiding scenario
Prototyping,
Serious Games,
Case Studies
Prototyping, Case
Studies
O1
* Process-Driven SOA Development [Juric & Gaur, 2009]
** Microservice Architecture [Fowler, 2014]
O2
O3
SQ1
SQ2
SQ3

10. The use of VGI and SDSS for supporting decision-making in disaster management
Flávio E. A. Horita, MSc.
10
2015-12-9
• Introduction
• Research Design
• Research Achievements
1. Research Definitions
2. Interaction between decision-makers and data
collection
3. Task-related information from social media
4. Observation-aware decision modelling and notation
AGENDA

11. The use of VGI and SDSS for supporting decision-making in disaster management
Flávio E. A. Horita, MSc.
11
2015-12-9
 Doctoral Seminar
Research Achievements
Progress on the Research definitions
Activities:
1. Monitoring and Early
Warning
2. Humanitarian Logistics
Operations
Data Sources:
1. Collaborative
Platforms
2. Hard Sensors
Decision-makers:
1. Local Agencies
(e.g. CEMADEN)
2. Global Agencies
(e.g. OCHA)
SQ1 SQ2 SQ3
Disaster
Management
Heterogeneous
Data Sources
Spatial
Decision
Support
Systems

12. The use of VGI and SDSS for supporting decision-making in disaster management
Flávio E. A. Horita, MSc.
12
2015-12-9
Research Achievements
Interaction between decision-makers and data collection
Clear understanding about
the interaction between
decision-makers and data
collection
Connection of decision-
makers’ tasks and decisions
to information
Targeted data collection
(Daniel’s work)
Data integration and
information visualization
(Flávio’s work)
1
2
3
SQ1 SQ2 SQ3Worked on DFG-FAPESP proposal
Possible submission to ISCRAM ‘2016

13. The use of VGI and SDSS for supporting decision-making in disaster management
Flávio E. A. Horita, MSc.
13
2015-12-9
 Problem
 Social media platforms (e.g. Twitter) can supply valuable information
 Difficult to identify relevant information in social media data and
integrate findings into decision-making
 Research Question
 How can task-related information be identified in social media data and
linked back to tasks?
 Results
 Reducing the gap between social media analysis and decision-making via
structured domain knowledge
 Keyword-based search improves social media analysis
Research Achievements
Task-related information from social media
---
LINK, D. et al. (2015). A Method for Extracting Task­related Information from Social Media based on
Structured Domain Knowledge. 21st Americas Conference on Information Systems (AMCIS). El
Conquistador, Porto Rico.

14. The use of VGI and SDSS for supporting decision-making in disaster management
Flávio E. A. Horita, MSc.
14
2015-12-9
• Common standards for modelling of processes, decisions,
observations
• Business Process Modelling Notation (BPMN)
• Reference Task Model (RTM)
• Observation & Measurements (O&M)
• Decision Model and Notation (DMN)
• Information models
• Infrastructure and Resource Category Systems
Research Achievements
Basis for the Observation-aware decision modelling and notation
Source: (Blecken, 2010; OMG, 2013; OGC, 2013; OMG, 2014; Horita et al., 2014; Link and Hellingrath, 2014)

15. The use of VGI and SDSS for supporting decision-making in disaster management
Flávio E. A. Horita, MSc.
15
2015-12-9
Research Achievements
Observation-aware decision modelling and notation

16. The use of VGI and SDSS for supporting decision-making in disaster management
Flávio E. A. Horita, MSc.
16
2015-12-9
Research Achievements
Application case in 2015 Nepal Earthquake
Airport Condition
Airport category table
1 Aircraft Slots Overall Capacity
2 Weight
Limitations
Transportation
Constraints
Airport category table
O Aircraft Slots Weight
Limitations
Situation
1 Available < 100 MT Available
2 [101..200] Available
3 < 201 MT Limited
4 Limited < 100 MT Available
5 [101..200] Limited
6 < 201 MT Congested
7 None < 100 MT Congested
8 [101..200] Congested
9 < 201 MT Congested
1 2
3
4
5
6
7

17. The use of VGI and SDSS for supporting decision-making in disaster management
Flávio E. A. Horita, MSc.
17
2015-12-9
 Understand the relation between tasks, decisions and
information
 Determine the impact of new (or lack) information
on decisions and tasks
 Support targeted data collection (using mobile or
social media)
 Support combination and data integration among
decision support systems
 i.e. OpenStreetMap provides the road network (e.g.
roads of M ü nster) while Twitter reports the
condition of the roads (e.g. Kolde-Ring is blocked)
Research Achievements
Observation-aware decision modelling and notation
SQ1
HORITA, F. E. A. et al. (2016). oDMN: An Integrated Model to Connect Decision-Making Needs to
Emerging Data Sources in Disaster Management. Accepted for HICSS 2016 – Hawaii International
Conference on System Sciences. Kauai, Hawaii.

18. The use of VGI and SDSS for supporting decision-making in disaster management
Flávio E. A. Horita, MSc.
18
2015-12-9
Research Achievements
Progress so far
Main Outcome Partial Outcome Inputs Validation
An approach which
combines
information
provided by
heterogeneous
data sources in
near real-time and
supports decisions
taken by
emergency
agencies in
disasters
A method for matching
tasks, information needed,
and data sources
A visualization approach
for improving decision-
making based on the
decision-makers’
requirements
An approach for
integrating heterogeneous
data sources based on
decision-makers’
requirements
Reference Task
Model, Business
Process Modelling
Notation
Visual Analytics,
Software
Engineering,
Design Science
Research
Process-Driven
SOA
Development*,
Ontologies, Micro
Services**, Design
Science Research
Instantiation using
guiding scenario
Prototyping,
Serious Games,
Case Studies
Prototyping, Case
Studies
O1
* Process-Driven SOA Development [Juric & Gaur, 2009]
** Microservice Architecture [Fowler, 2014]
O2
O3
SQ1
SQ2
SQ3

19. The use of VGI and SDSS for supporting decision-making in disaster management
Flávio E. A. Horita, MSc.
19
2015-12-9
VGI
Data Source
Layer
In-situ
sensors
Rainfall
gauge
Meteorol
-ogical
stations
Integration
Data Integration
Layer
Application
Layer
Visualization
SDSS
Business Layer
uses
supports
links
uses
supports
supports
requests
supports
providesprovides
Integration
Visualization
uses
supports
supports
requests
supports
O2
O3
Decision-making Process
links
Research Achievements
Progress so far
Global agencies (e.g.
OCHA)
Horita, F. E. A.; Albuquerque, J. P. An
Approach to Support Decision-Making in
Disaster Management based on VGI and SDSS.
In: 10th International ISCRAM Conference,
Baden-Baden, Germany, 2013. p. 301-306.
Decision
Support
Server
Decision
Support
Server
O1
Local agencies (e.g.
CEMADEN)

20. The use of VGI and SDSS for supporting decision-making in disaster management
Flávio E. A. Horita, MSc.
20
2015-12-9
The use of volunteered geographic information
and spatial decision support systems for
supporting decision-making in disaster
management
Flávio E. A. Horita, MSc.
PhD Student, LABES, ICMC, University of São Paulo
Visiting PhD Student, ERCIS, Münster University
horita@icmc.usp.br | flavio.horita@uni-muenster.de
Advisor: Prof. Dr. João Porto de Albuquerque
Supervisor: Prof. Dr.-Ing. Bernd Hellingrath