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Emergency Information Systems: Thomson Reuters Fnd. & InSTEDD

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Eduardo Jezierski
Eduardo Jezierski

Presentation given at ISCRAM 2010

Technologie
1  sur  22
EMERGENCY INFORMATION SERVICES (EIS) Eduardo Jezierski Engineering, InSTEDD [email_address] Skype: eduardojezierski @edjez With tech support of…
INFORMATION TO SAVE LIVES ,[object Object],[object Object]
INFORMATION TO SAVE LIVES ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
THE EIS SYSTEM Individual Messages RSS (geo, tags) Email Digest summaries
What can survivors do with EIS? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What can relief responders do? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
And local journalists? ,[object Object],[object Object],[object Object],[object Object]
Key Learnings from Indonesia & Haiti ,[object Object],[object Object],[object Object],[object Object],[object Object]
 
Eric Rasmussen and Nico di Tada, partners from InSTEDD
 
Help and information requests
Empowering vulnerable populations with information Relevance : Geographic, demographic, timeliness Dialogue : Keep a 2-way channel open
How does the system work for the TRF team? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Home page for EIS Haiti ~100.000 items as of 28 February 2010 12 feed sources ~25,000 subscribers Sending ~80,000+ messages a day
Power of Algorithms Suggest from learnt behaviors Accelerate sifting through data Feature Extraction, Classification, Clustering Wisdom of the Crowds Large base of data & work Hyperlocal knowledge Strength in numbers Instinct of the Experts Cross-sector contributions of specialized knowledge, Curation of a ‘live news’ Prioritize Teach Teach Suggest Prioritize Annotate Ground-truth Crowds + Experts + Algorithms
Translation of a broadcast message…
Experts using information to create an operational picture
Machine, know thy place… Design precept: machines suggest, humans commit
Beyond EIS & looking at the ecosystem Hamish, MapAction – source of EIS entrapment localization requests
 
Anastasia Moloney describing EIS at the UN Humanitarian Forum

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Emergency Information Systems: Thomson Reuters Fnd. & InSTEDD

  • 1. EMERGENCY INFORMATION SERVICES (EIS) Eduardo Jezierski Engineering, InSTEDD [email_address] Skype: eduardojezierski @edjez With tech support of…
  • 2.
  • 3.
  • 4. THE EIS SYSTEM Individual Messages RSS (geo, tags) Email Digest summaries
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.  
  • 10. Eric Rasmussen and Nico di Tada, partners from InSTEDD
  • 11.  
  • 13. Empowering vulnerable populations with information Relevance : Geographic, demographic, timeliness Dialogue : Keep a 2-way channel open
  • 14.
  • 15. Home page for EIS Haiti ~100.000 items as of 28 February 2010 12 feed sources ~25,000 subscribers Sending ~80,000+ messages a day
  • 16. Power of Algorithms Suggest from learnt behaviors Accelerate sifting through data Feature Extraction, Classification, Clustering Wisdom of the Crowds Large base of data & work Hyperlocal knowledge Strength in numbers Instinct of the Experts Cross-sector contributions of specialized knowledge, Curation of a ‘live news’ Prioritize Teach Teach Suggest Prioritize Annotate Ground-truth Crowds + Experts + Algorithms
  • 17. Translation of a broadcast message…
  • 18. Experts using information to create an operational picture
  • 19. Machine, know thy place… Design precept: machines suggest, humans commit
  • 20. Beyond EIS & looking at the ecosystem Hamish, MapAction – source of EIS entrapment localization requests
  • 21.  
  • 22. Anastasia Moloney describing EIS at the UN Humanitarian Forum