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Disaster Situation Awareness with  Information Technology Chamindra de Silva SAHANA, Director and PMC Member W3C EIIF XG Co-Chair Virtusa, Technology Strategist
My Background ,[object Object]
Sahana software tool for the CNO  ,[object Object],[object Object]
Deployed for governments of Pakistan, Philippines, Peru, Bangladesh, China,  US (New York, Galveston) and again in SL
Agenda ,[object Object]
Useful applications of IT for disaster management
Important considerations in applying IT
Demo Sahana
Situation Awareness Defn: “ Perception  of the environment critical to decision-makers in complex and dynamic situations” ,[object Object]
Making the best educated guess is inevitable!
Important especially in  high information flow ,  high consequential impact  domains (lives at stake) ,[object Object]
Levels of Situation Awareness Current State of Situation Level 1 Perception of Elements In Current Situation Level 2 Comprehension of Current Situation Level 3 Projection of Future States Quality of  Information Decision Information Action
SA in Emergency Management Well defined Response  Process Well defined Information Flows Well Trained Responders e.g. Traffic Accident Building Fire Bus Bomb Blast Information Information Situation Awareness Act Decide
Disaster => Unexpected info Sources ,[object Object]
To match relief capacity boundary of response effort extends to  other groups  (Other Gov, Civil Society, Foreign Aid, UN)
Core Decision Makers need to consult a  wider group  for better situation awareness
Information  has to be gathered from  non-traditional “uninitiated”  sources for better Situation Awareness
Disasters Coordination Large Scale (like Tsunami) 10s of Orgs 100s of Orgs 1000s – 1 Mill Government Relief  Government Ministries, Police, Army, Fire fighters,  +  Authorized  coord + Well  trained +  Accountable   +/- Big picture relief  (e.g. national security) - Procedures create bottlenecks - Overloaded  Local Relief Spontaneous volunteers, corporate village communities, friends and family +  first responders + lot of  capacity +  instant aid - not trained - focus unknown - not accountable UN, NGOs Red Cross, OCHA, CARE, WHO, Sarvodaya, etc + focused on  people +  trusted  to accept  aid +/- less well trained + accountable - Donor driven - narrow focus / fragmented - sometimes competing   Victims   Effective Collaboration and Coordination! Relief
SA in Disaster Management Multiple Disparate Information Sources Information Overload Large delta  to reality Diverse Responders Relief workers,  Volunteers Multiple Parallel independent Processes Trust? Clarity Repetition Priority? Information Information Situation Awareness?? Act Information Information Information Decide
Levels of Situation Awareness Current State of Situation Level 1 Perception of Elements In Current Situation Level 2 Comprehension of Current Situation Level 3 Projection of Future States Quality of  Information Decision Information Action
Typical Problems Responders have work on.. ,[object Object]
Evacuation
Setting up Shelters
Effective Distribution of Aid
Management of Donars and Donations ,[object Object]
Protecting Children
Trauma Counseling
Assuring Security of Affected Areas
Rehabilitation Live saving  decisions need to be made  very fast ! The best decisions are the  most informed  ones
The Manual Approach.. ,[object Object]
Inconsistent  Terminology
Multiple orgs, same common data ,[object Object],[object Object],[object Object]
Delayed Situation Awareness  ! 16 120 8 5 10 28
How Can I.T. Help? ,[object Object]
Problem Areas IT Helps Manage ,[object Object]
Coordinating  Who is doing What Where?
Tracking  Displaced Families
Collaborative  and  live  Incident Mapping
Aid  Logistics  Management
Scalable  Alerting
Data  Collation ,  Calculation  and  Reporting
Automated  Messaging to the Public “ Every Second Counts”  => IT Maximizes  Efficiency  &  Effectiveness
Who  is doing  What ,  Where  &  When ? ,[object Object]

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Situation Awareness with IT for Regional Disaster Mangement Workshop

Notes de l'éditeur

  1. Information is powr