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Presentation @ Winter Doctoral Seminar 2015

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Presentation @ Winter Doctoral Seminar 2015

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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.

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.

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Presentation @ Winter Doctoral Seminar 2015

  1. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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

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