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Crowd Sourced data in Ops Planning

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Presentation by Lt Col Sudeep Panta of Nepal Army on joint Crisis Informatics workshop organized by Kathmandu Living Labs, Harvard Humanitarian Initiative and University of Colorado Boulder to draw lessons from Nepal Earthquake 2015.

Presentation by Lt Col Sudeep Panta of Nepal Army on joint Crisis Informatics workshop organized by Kathmandu Living Labs, Harvard Humanitarian Initiative and University of Colorado Boulder to draw lessons from Nepal Earthquake 2015.

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Crowd Sourced data in Ops Planning

  1. 1. Crowd Sourced Data in Ops Planning Lt Col Sudeep Panta Nepalese Army
  2. 2. Data Provided by KLL • Crowd Requests • Satellite Imageries • Road Network and other shapefiles
  3. 3. Crowd Sourced Data • Provider: Kathmandu Living Labs – Direct Access to Spreadsheet – Data: • Organized • Categorized • With Geo-location • Ready to Use • One level of Verification done by KLL • With contact details
  4. 4. Crowd Sourced Data • Almost 2200 Requests • Prioritization of data: – Primary focused on emergency rescues – Large Scale delivery – Air-based supplies • 650 requests of rescues using air assets • Other requests were sent to local level for necessary actions
  5. 5. Open Source Information • Open source –Media Reports, News, Articles –Secondary informants –Crowd Sourced data
  6. 6. Gap Analysis • Identify gaps using: – Security forces on the ground – Rescue and Relief operations conducted so far – Request from public (Crowd Sourced Data)
  7. 7. Logistics Supply Map
  8. 8. Issues • Unrealistic requests • Verification at local level (Especially for relief works) • Louder the voice, bigger the attention
  9. 9. What Next..? • Establish a systematic approach/System • Data Management • Data verification • Sharing among the emergency responders
  10. 10. Common Operating Picture • Security Forces Deployments • Asset Deployments • Real Time Feeds (Forest Fire, Flood) • News Feeds • Crowd Feeds Web Based Mapping Application • Used for monitoring and planning
  11. 11. Comparing with Haiti EQ 2010 • Crowd Sourcing was not well established • Communication System was not fully functional for first few weeks • Unrealistic Requests • Responders were not aware about such approach

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