SlideShare una empresa de Scribd logo
1 de 15
Descargar para leer sin conexión
ISCRAM Summer 
   School 2012
  Kayvan Yousefi Mojir
     kayvan.y.mojir@liu.se
     Linköping University
           Sweden
My Background
               y     g

Bachelor degree
   1998-2003

   Computer Engineering, Majoring Software

   Software engineering, System modelling and design, algorithm design

   Internet engineering, database fundamentals

   Logic circuits, Microprocessor, Computer Architecture




                                                                          2
My Background? Cont.
     y     g
Master Degree
   EMIS : Master of Science in Engineering and Management of
    Information System (teknik och ledning för informationssystem)

   2008-2011

   IT project management

   Requirements elicitation and analysis

   Process for IT production

   Enterprise computing and ERPs
         p        p    g

   Business Process Design

                                                                     3
Research Project Title
              j
O Change processes in Emergency Response
 Systems regarding and involving new actors
 and information system support




       Supervisor :   Sofie Pilemalm
       Co-Supervisor: Stefan Holgersson

                                              4
Emergency Response Systems = ERS




                                   5
Research Area
O System analysis
O Policy and practice in ERS
O Change processes
O Inter-organizational collaboration
O IT and communications in organizational
  processes
O E-services


                                            6
Emergency Management
                                                          A discipline that deals with
                            Recovery
                                                          risk and risk avoidance




   Mitigation            Communication               Response




                           Preparedn
                              ess



George D Haddow et al , Introduction to emegency management Fouth edition , Elsevier , 2011 ISBN 978 1 85617
        D. Haddow, al.                           management,Fouth                      2011,ISBN 978-1-85617-   7
959-1 , Chapter 2
Accidents
•Building fire
•Traffic accident
 T ffi      id
•Non-building fire
                g
•Emission of dangeroussubstances
•Fall
•Drowning
•Building collapse
•Animal in danger
•Person i d
 P      in danger
•Water damage

                                   8
Known actors and new actors

O First responders (Stenberg et al 2010)
                                   2010).
O Bystanders.
O Voluntary organizations
            organizations.
O External actors (secondary actors) (MSB, 2010).
O Secondary actors




                                                    9
Actors from different point of views

                          Proffesionals,semi-             Public,Commercial,un
                         roffeciotnals,Amateur                 ion,privated




            Vocational
                                                                                 Functions : nurse,...
           ,Volunteers




  Organized ,
  Unorganzied                                    Actors                                              ?




                                                                                                         10
Research Question
                        Q
  O Who are new actors?
  O How they may affect response operation?
  O What characteristic they have?
  O How is it possible to support these actors
    by existing and new information system to
    improve the response operation?
  O How should the collaboration between new
    actors and organization in ER?
      t       d g i ti i

* Swedirh Rescue Service in Figures MSB , 2008,p. 48, ISBN: 978-91-7383-076-8
                            Figures,      2008 p 48         978 91 7383 076 8   11
12
Methodology
                      gy
O Qualitative research methods
O Data Collection
  O Interview
  O Scenarios
  O Literature review
  O Reports
  O Participant observation
  O Questionnaires
O Analysis

                                 13
Limitation/Scope
                       p
O Too many actors/organizations involved
O Different systems
O Time
O Resource
O Lack of reports on everyday incidents(reports
  mostly belongs to disasters)
O Different countries(demography ,topography,
  economy) , it is difficult to apply knowledge
          y)                     pp y        g
O Evaluation methods

                                                  14
Thank You!



             15

Más contenido relacionado

Destacado

Incident Command System
Incident Command SystemIncident Command System
Incident Command SystemRyann Castro
 
Chapter4 emergency preparedness
Chapter4 emergency preparednessChapter4 emergency preparedness
Chapter4 emergency preparednesspokjak80
 
Leadership concepts and theories
Leadership concepts and theoriesLeadership concepts and theories
Leadership concepts and theoriesalaguraja76
 
Management vs. Leadership - Linked 2 Leadership
Management vs. Leadership  - Linked 2 LeadershipManagement vs. Leadership  - Linked 2 Leadership
Management vs. Leadership - Linked 2 LeadershipLinked 2 Leadership
 
Leadership in the Digital Age
Leadership in the Digital AgeLeadership in the Digital Age
Leadership in the Digital AgeAngela Maiers
 

Destacado (7)

Principles Of Emergency Planning
Principles Of Emergency PlanningPrinciples Of Emergency Planning
Principles Of Emergency Planning
 
Incident Command System
Incident Command SystemIncident Command System
Incident Command System
 
Chapter4 emergency preparedness
Chapter4 emergency preparednessChapter4 emergency preparedness
Chapter4 emergency preparedness
 
Current Legal Issues In Education
Current Legal Issues In EducationCurrent Legal Issues In Education
Current Legal Issues In Education
 
Leadership concepts and theories
Leadership concepts and theoriesLeadership concepts and theories
Leadership concepts and theories
 
Management vs. Leadership - Linked 2 Leadership
Management vs. Leadership  - Linked 2 LeadershipManagement vs. Leadership  - Linked 2 Leadership
Management vs. Leadership - Linked 2 Leadership
 
Leadership in the Digital Age
Leadership in the Digital AgeLeadership in the Digital Age
Leadership in the Digital Age
 

Similar a Kayvan Yousefi iscram summerschool 2012

Data as a service: a human-centered design approach/Retha de la Harpe
Data as a service: a human-centered design approach/Retha de la HarpeData as a service: a human-centered design approach/Retha de la Harpe
Data as a service: a human-centered design approach/Retha de la HarpeAfrican Open Science Platform
 
[Agile Portugal 2014] - Agile Decision Support System for Upper Management - ...
[Agile Portugal 2014] - Agile Decision Support System for Upper Management - ...[Agile Portugal 2014] - Agile Decision Support System for Upper Management - ...
[Agile Portugal 2014] - Agile Decision Support System for Upper Management - ...Pedro Henriques
 
Leaning Lab il Living Lab di Pisa
Leaning Lab il Living Lab di PisaLeaning Lab il Living Lab di Pisa
Leaning Lab il Living Lab di PisaDaniele Mazzei
 
How does Social Software support Global Software Development?
How does Social Software support Global Software Development?How does Social Software support Global Software Development?
How does Social Software support Global Software Development?Rosalba Giuffrida
 
Analysis of “what do you do with all this big data” –ted talk by susan etlinger
Analysis of “what do you do with all this big data” –ted talk by susan etlingerAnalysis of “what do you do with all this big data” –ted talk by susan etlinger
Analysis of “what do you do with all this big data” –ted talk by susan etlingerDarpan Deoghare
 
Göran Goldkuhl on Practice Research
Göran Goldkuhl on Practice ResearchGöran Goldkuhl on Practice Research
Göran Goldkuhl on Practice Researchpajo01
 
Ws1 introduction talk
Ws1 introduction talkWs1 introduction talk
Ws1 introduction talkRuthBeresford
 
Esg research 2010 data protection trends
Esg research 2010 data protection trendsEsg research 2010 data protection trends
Esg research 2010 data protection trendsCA RMDM Latam
 
Factors Influencing Open Data Engagement: Citizens’ Perspectives
Factors Influencing Open Data Engagement: Citizens’ PerspectivesFactors Influencing Open Data Engagement: Citizens’ Perspectives
Factors Influencing Open Data Engagement: Citizens’ Perspectivessamossummit
 
The ECSA Characteristics of Citizen Science
The ECSA Characteristics of Citizen ScienceThe ECSA Characteristics of Citizen Science
The ECSA Characteristics of Citizen ScienceMargaret Gold
 
Open Data and IATI
Open Data and IATIOpen Data and IATI
Open Data and IATIRolf Kleef
 
Researching Entrepreneurship using Phenomenological Methods
Researching Entrepreneurship using Phenomenological MethodsResearching Entrepreneurship using Phenomenological Methods
Researching Entrepreneurship using Phenomenological MethodsHenrik Berglund
 
Two cases on behavioral operations management research
Two cases on behavioral operations management researchTwo cases on behavioral operations management research
Two cases on behavioral operations management researchAndreas Größler
 
Analysing Analytics: Evolution or Emperor's New Clothes? (Young OR Conference...
Analysing Analytics: Evolution or Emperor's New Clothes? (Young OR Conference...Analysing Analytics: Evolution or Emperor's New Clothes? (Young OR Conference...
Analysing Analytics: Evolution or Emperor's New Clothes? (Young OR Conference...Michael Mortenson
 
Ciência de Dados: definição, desafios de modelagem e aplicações multidiscipli...
Ciência de Dados: definição, desafios de modelagem e aplicações multidiscipli...Ciência de Dados: definição, desafios de modelagem e aplicações multidiscipli...
Ciência de Dados: definição, desafios de modelagem e aplicações multidiscipli...luizcelsojr
 
Software Metadata: Describing "dark software" in GeoSciences
Software Metadata: Describing "dark software" in GeoSciencesSoftware Metadata: Describing "dark software" in GeoSciences
Software Metadata: Describing "dark software" in GeoSciencesdgarijo
 
Value Co-Creation in Innovation Ecosystems (Presentation @ Tokyo Institute of...
Value Co-Creation in Innovation Ecosystems (Presentation @ Tokyo Institute of...Value Co-Creation in Innovation Ecosystems (Presentation @ Tokyo Institute of...
Value Co-Creation in Innovation Ecosystems (Presentation @ Tokyo Institute of...Neil Rubens
 
Managing information health
Managing information healthManaging information health
Managing information health1STOUTSOURCE LTD
 

Similar a Kayvan Yousefi iscram summerschool 2012 (20)

Data as a service: a human-centered design approach/Retha de la Harpe
Data as a service: a human-centered design approach/Retha de la HarpeData as a service: a human-centered design approach/Retha de la Harpe
Data as a service: a human-centered design approach/Retha de la Harpe
 
[Agile Portugal 2014] - Agile Decision Support System for Upper Management - ...
[Agile Portugal 2014] - Agile Decision Support System for Upper Management - ...[Agile Portugal 2014] - Agile Decision Support System for Upper Management - ...
[Agile Portugal 2014] - Agile Decision Support System for Upper Management - ...
 
Leaning Lab il Living Lab di Pisa
Leaning Lab il Living Lab di PisaLeaning Lab il Living Lab di Pisa
Leaning Lab il Living Lab di Pisa
 
How does Social Software support Global Software Development?
How does Social Software support Global Software Development?How does Social Software support Global Software Development?
How does Social Software support Global Software Development?
 
Analysis of “what do you do with all this big data” –ted talk by susan etlinger
Analysis of “what do you do with all this big data” –ted talk by susan etlingerAnalysis of “what do you do with all this big data” –ted talk by susan etlinger
Analysis of “what do you do with all this big data” –ted talk by susan etlinger
 
Göran Goldkuhl on Practice Research
Göran Goldkuhl on Practice ResearchGöran Goldkuhl on Practice Research
Göran Goldkuhl on Practice Research
 
Göran Goldkuhl
Göran GoldkuhlGöran Goldkuhl
Göran Goldkuhl
 
Ws1 introduction talk
Ws1 introduction talkWs1 introduction talk
Ws1 introduction talk
 
Esg research 2010 data protection trends
Esg research 2010 data protection trendsEsg research 2010 data protection trends
Esg research 2010 data protection trends
 
Factors Influencing Open Data Engagement: Citizens’ Perspectives
Factors Influencing Open Data Engagement: Citizens’ PerspectivesFactors Influencing Open Data Engagement: Citizens’ Perspectives
Factors Influencing Open Data Engagement: Citizens’ Perspectives
 
The ECSA Characteristics of Citizen Science
The ECSA Characteristics of Citizen ScienceThe ECSA Characteristics of Citizen Science
The ECSA Characteristics of Citizen Science
 
Open Data and IATI
Open Data and IATIOpen Data and IATI
Open Data and IATI
 
Researching Entrepreneurship using Phenomenological Methods
Researching Entrepreneurship using Phenomenological MethodsResearching Entrepreneurship using Phenomenological Methods
Researching Entrepreneurship using Phenomenological Methods
 
Two cases on behavioral operations management research
Two cases on behavioral operations management researchTwo cases on behavioral operations management research
Two cases on behavioral operations management research
 
Analysing Analytics: Evolution or Emperor's New Clothes? (Young OR Conference...
Analysing Analytics: Evolution or Emperor's New Clothes? (Young OR Conference...Analysing Analytics: Evolution or Emperor's New Clothes? (Young OR Conference...
Analysing Analytics: Evolution or Emperor's New Clothes? (Young OR Conference...
 
Ciência de Dados: definição, desafios de modelagem e aplicações multidiscipli...
Ciência de Dados: definição, desafios de modelagem e aplicações multidiscipli...Ciência de Dados: definição, desafios de modelagem e aplicações multidiscipli...
Ciência de Dados: definição, desafios de modelagem e aplicações multidiscipli...
 
Software Metadata: Describing "dark software" in GeoSciences
Software Metadata: Describing "dark software" in GeoSciencesSoftware Metadata: Describing "dark software" in GeoSciences
Software Metadata: Describing "dark software" in GeoSciences
 
Value Co-Creation in Innovation Ecosystems (Presentation @ Tokyo Institute of...
Value Co-Creation in Innovation Ecosystems (Presentation @ Tokyo Institute of...Value Co-Creation in Innovation Ecosystems (Presentation @ Tokyo Institute of...
Value Co-Creation in Innovation Ecosystems (Presentation @ Tokyo Institute of...
 
Managing information health
Managing information healthManaging information health
Managing information health
 
Process Research With Digital Trace Data
Process Research With Digital Trace DataProcess Research With Digital Trace Data
Process Research With Digital Trace Data
 

Último

Oauth 2.0 Introduction and Flows with MuleSoft
Oauth 2.0 Introduction and Flows with MuleSoftOauth 2.0 Introduction and Flows with MuleSoft
Oauth 2.0 Introduction and Flows with MuleSoftshyamraj55
 
IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoTAnalytics
 
Strategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering TeamsStrategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering TeamsUXDXConf
 
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...marcuskenyatta275
 
Syngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdfSyngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdfSyngulon
 
Google I/O Extended 2024 Warsaw
Google I/O Extended 2024 WarsawGoogle I/O Extended 2024 Warsaw
Google I/O Extended 2024 WarsawGDSC PJATK
 
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...FIDO Alliance
 
PLAI - Acceleration Program for Generative A.I. Startups
PLAI - Acceleration Program for Generative A.I. StartupsPLAI - Acceleration Program for Generative A.I. Startups
PLAI - Acceleration Program for Generative A.I. StartupsStefano
 
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...CzechDreamin
 
Connecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAKConnecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAKUXDXConf
 
How we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdfHow we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdfSrushith Repakula
 
Powerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaPowerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaCzechDreamin
 
Extensible Python: Robustness through Addition - PyCon 2024
Extensible Python: Robustness through Addition - PyCon 2024Extensible Python: Robustness through Addition - PyCon 2024
Extensible Python: Robustness through Addition - PyCon 2024Patrick Viafore
 
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfLinux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfFIDO Alliance
 
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...CzechDreamin
 
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdfSimplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdfFIDO Alliance
 
Speed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in MinutesSpeed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in Minutesconfluent
 
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfIntroduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfFIDO Alliance
 
AI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří KarpíšekAI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří KarpíšekCzechDreamin
 
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)Julian Hyde
 

Último (20)

Oauth 2.0 Introduction and Flows with MuleSoft
Oauth 2.0 Introduction and Flows with MuleSoftOauth 2.0 Introduction and Flows with MuleSoft
Oauth 2.0 Introduction and Flows with MuleSoft
 
IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024
 
Strategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering TeamsStrategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering Teams
 
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
 
Syngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdfSyngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdf
 
Google I/O Extended 2024 Warsaw
Google I/O Extended 2024 WarsawGoogle I/O Extended 2024 Warsaw
Google I/O Extended 2024 Warsaw
 
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
 
PLAI - Acceleration Program for Generative A.I. Startups
PLAI - Acceleration Program for Generative A.I. StartupsPLAI - Acceleration Program for Generative A.I. Startups
PLAI - Acceleration Program for Generative A.I. Startups
 
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
 
Connecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAKConnecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAK
 
How we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdfHow we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdf
 
Powerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaPowerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara Laskowska
 
Extensible Python: Robustness through Addition - PyCon 2024
Extensible Python: Robustness through Addition - PyCon 2024Extensible Python: Robustness through Addition - PyCon 2024
Extensible Python: Robustness through Addition - PyCon 2024
 
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfLinux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
 
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
 
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdfSimplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf
 
Speed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in MinutesSpeed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in Minutes
 
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfIntroduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
 
AI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří KarpíšekAI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří Karpíšek
 
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
 

Kayvan Yousefi iscram summerschool 2012

  • 1. ISCRAM Summer  School 2012 Kayvan Yousefi Mojir kayvan.y.mojir@liu.se Linköping University Sweden
  • 2. My Background y g Bachelor degree  1998-2003  Computer Engineering, Majoring Software  Software engineering, System modelling and design, algorithm design  Internet engineering, database fundamentals  Logic circuits, Microprocessor, Computer Architecture 2
  • 3. My Background? Cont. y g Master Degree  EMIS : Master of Science in Engineering and Management of Information System (teknik och ledning för informationssystem)  2008-2011  IT project management  Requirements elicitation and analysis  Process for IT production  Enterprise computing and ERPs p p g  Business Process Design 3
  • 4. Research Project Title j O Change processes in Emergency Response Systems regarding and involving new actors and information system support Supervisor : Sofie Pilemalm Co-Supervisor: Stefan Holgersson 4
  • 6. Research Area O System analysis O Policy and practice in ERS O Change processes O Inter-organizational collaboration O IT and communications in organizational processes O E-services 6
  • 7. Emergency Management A discipline that deals with Recovery risk and risk avoidance Mitigation Communication Response Preparedn ess George D Haddow et al , Introduction to emegency management Fouth edition , Elsevier , 2011 ISBN 978 1 85617 D. Haddow, al. management,Fouth 2011,ISBN 978-1-85617- 7 959-1 , Chapter 2
  • 8. Accidents •Building fire •Traffic accident T ffi id •Non-building fire g •Emission of dangeroussubstances •Fall •Drowning •Building collapse •Animal in danger •Person i d P in danger •Water damage 8
  • 9. Known actors and new actors O First responders (Stenberg et al 2010) 2010). O Bystanders. O Voluntary organizations organizations. O External actors (secondary actors) (MSB, 2010). O Secondary actors 9
  • 10. Actors from different point of views Proffesionals,semi- Public,Commercial,un roffeciotnals,Amateur ion,privated Vocational Functions : nurse,... ,Volunteers Organized , Unorganzied Actors ? 10
  • 11. Research Question Q O Who are new actors? O How they may affect response operation? O What characteristic they have? O How is it possible to support these actors by existing and new information system to improve the response operation? O How should the collaboration between new actors and organization in ER? t d g i ti i * Swedirh Rescue Service in Figures MSB , 2008,p. 48, ISBN: 978-91-7383-076-8 Figures, 2008 p 48 978 91 7383 076 8 11
  • 12. 12
  • 13. Methodology gy O Qualitative research methods O Data Collection O Interview O Scenarios O Literature review O Reports O Participant observation O Questionnaires O Analysis 13
  • 14. Limitation/Scope p O Too many actors/organizations involved O Different systems O Time O Resource O Lack of reports on everyday incidents(reports mostly belongs to disasters) O Different countries(demography ,topography, economy) , it is difficult to apply knowledge y) pp y g O Evaluation methods 14