Gisli Olafsson Disaster Management Technical Advisor Microsoft Corporation Disaster Risk Management in the Information Age

Crisis & Disaster Stakeholders Requirements: Coordinate and host diverse agencies Alert and inform Share common operating picture Manage supply chains Constituents Citizens Individuals in the broad population Private Enterprise Top Multi-national corporations Leadership Heads of schools, cities, states, countries Non Governmental Organizations Red Cross, NetHope, World Cares Inter Governmental Organizations United Nations, NATO, EU Public Health Health and Human Services, and Medical Centers Nations National Governments, Intelligence, Security and Defense Agencies Critical Infrastructure Transportation, Banking, Public Works & Utilities Responders First Responders, Fire, Police EMT Secondary Responders, National Guard, Emergency Management Authority & FEMA

Outdated, slow, and paper-based Challenges Impedes efficient response Challenges & Requirements Technology Transforms Microsoft Product Platform Success StoriesPartner Offerings

IFRC ICRC Private PNSs WFP NGOs UNDP MIL OCHA Geneva Humanitarian Coordinator AffectedPopulation Affected Government CIMIC NMCC USAID/ DART Ambassadors Donor Govt’s NGOs National military HCR UNICEF IGOs OSSOC UNDAC MEDIA EU Collaboration during disaster Coordinated chaos?

Focus Area Assist in preparedness by allowing processes to be established and easily followed Assist in response by allowing information to be disseminated to various involved parties in a timely and efficient manner Assist in recovery by ensuring schedules tasks are tracked and monitored Wattegama, C. (2007). ICT for Disaster Management. Retrieved February, 2008, from Asia Pacific Development Information Programme “International, regional and national organizations should work better together and be better coordinated.” 10 lessons learned from the South Asia tsunami of 26 December 2004 Retrieved February, 2008, from Relief Web:

Microsoft’s Strategy & Approach Disaster Risk Management in the Information Age

Preparedness is the enabler for cooperation throughout the Crisis Management Lifecycle ICT Private Sector Role in Disaster Preparedness Crisis Management Lifecycle Policy Influence Relationship Management Program Offerings IncidentManagement

When to Deploy New Technology Technology Everyday Disaster day

Microsoft ® Disaster Preparedness Program unities Collaborate Provide “Community of Practice” environment to, further understanding, consensus & address issues Train Demonstrate Virtual Disaster Response Simulation that may enhance organizational capability & enable more informed ICT adoption Assess Enable Threat Analysis, Risk Mitigation & Dependency Identification Preparedness MOSS ESP, SQL, VE SDL, TAMe Offerings founded upon Microsoft core competencies

Success stories: Information Sharing & Collaboration Disaster Risk Management in the Information Age

UN OCHA Collaboration Myanmar Humanitarian Information Centre (HIC) Rapid response made possible through preparedness work Relationships established, portal requirements and blue print developed in March 2008 in advance Execution made possible through our partners Burntsand Compellent CorasWorks Coroware e-Sponder IDV Solutions L-Soft MindTree Neudesic Sun TM Weather Central Weather Decision Technologies 12

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Success Stories: Learning & Training Disaster Risk Management in the Information Age

Experiential Learning: Disaster Simulation Learning Architecture

How We Simulate The World 17 DEM/DTED Space Shuttle NED Land Class Tiling textures Satellite imagery Vector Data Roads, power lines Coastlines, rivers, lakes World Time and seasons Weather Celestial sphere Cultural Objects Trees and vegetation Generic buildings and objects Unique Objects Area specific Landmark objects Facilities Data Jeppesen Charts NOAA hazards DAFIF Vehicle Simulation Trains, aircraft, boats, etc Single person and multi-user operable Characters Age Ethnicity Ambient population A.I. Paths Car traffic Aircraft traffic Ship traffic Triggers Scenario creation Missions Events After Action Review Analysis Tracking Rewards

*Based on: A.P. Moore et al., IEEE Security & Privacy, Education, Volume 6, Number 1, January/February 2008 Interactive Development Approach * Training Simulation Prototype Case Study Empirical Data Scenarios Development of case-based training simulation Decision Model Specific Scenarios Learning Objectives Model must provide for Interactive approach Team-orientation Role-playing experience

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