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Methods and Applications in Addressing Information Needs in Humanitarian Emergencies Association of American Geographers Conference 16 April 2010 – Washington DC  GIS 2.0, the Disaster Cycle, and Implications for Humanitarian Knowledge Management Joshua S. CampbellHumanitarian Information Unit  University of Kansas
Session Goal During humanitarian emergencies, there is a need for different levels of information depending on the type and intensity of the emergency As the emergency develops, information needs change from recovery to restoration 1-3 days: immediate description 10 days: contextualization Long-term: trends, models, managing, rebuilding
Questions… How does the disaster cycle impact the type of geospatial information and analysis needed? How do we utilize new geospatial toolkits, the Internet, and mobile technology? How do we leverage existing work?
Where we are Existing WebGIS best suited for contextual understanding and scenario/trend analysis Citizens as Sensors: Mobile phones and SMS Collaborative Mapping: Open Street Map Optimum system combines all three
System Design Get the right information in the right format at the right time Geospatial data & robust cyberinfrastructure Leverages previous work
NeoGeography Began as an expression of Web 2.0 applied to maps AJAX, JavaScript APIs, RSS Craigslist mashup / Chicago Crime Maps * Democratization of geographic tools Web Developers discovered Geography… What about Geographers harnessing the Web?
What is Web 2.0?   “a transformative force that’s compelling companies across all industries towards a new way of doing business characterized by harnessingcollective intelligence, openness, and network effects” --Tim O’Reilly
What is a GIS? A digital representation of the earth, structured to support analysis (Dobson, 2007) Automated systems for the collection, storage, retrieval, analysis, and display of spatial data (Clarke, 1995) Should also include dissemination Composed on software, hardware, and people
GIS 2.0: A Reformulation ,[object Object]
Web 2.0 philosophy
collective intelligence, network effects, openness
Internet as a platform
Open Standards
Interoperability,[object Object]
Figure 3, Kelmelis et al 2006
The Disaster Cycle Warning / Evacuation & Response / Recovery Need information quick Get everyone on the same page High resolution imagery ‘Common Operating Picture’ Harness volunteers and mobile technology
Open Street Map – Haiti Edits Video http://vimeo.com/9182869
The Disaster Cycle Reconstruction / Rehabilitation Begin building larger datasets Cadastre, elevation, hydro Focus on logistics, program oversight, monitoring
The Disaster Cycle Redevelopment / Sustainable Development Modeling of future hazards Filling data gaps from recent disaster Modeling potential economic development

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GIS 2.0, The Disaster Cycle, and It's Implications for Humanitarian Knowledge Management

  • 1. Methods and Applications in Addressing Information Needs in Humanitarian Emergencies Association of American Geographers Conference 16 April 2010 – Washington DC GIS 2.0, the Disaster Cycle, and Implications for Humanitarian Knowledge Management Joshua S. CampbellHumanitarian Information Unit University of Kansas
  • 2. Session Goal During humanitarian emergencies, there is a need for different levels of information depending on the type and intensity of the emergency As the emergency develops, information needs change from recovery to restoration 1-3 days: immediate description 10 days: contextualization Long-term: trends, models, managing, rebuilding
  • 3. Questions… How does the disaster cycle impact the type of geospatial information and analysis needed? How do we utilize new geospatial toolkits, the Internet, and mobile technology? How do we leverage existing work?
  • 4. Where we are Existing WebGIS best suited for contextual understanding and scenario/trend analysis Citizens as Sensors: Mobile phones and SMS Collaborative Mapping: Open Street Map Optimum system combines all three
  • 5. System Design Get the right information in the right format at the right time Geospatial data & robust cyberinfrastructure Leverages previous work
  • 6. NeoGeography Began as an expression of Web 2.0 applied to maps AJAX, JavaScript APIs, RSS Craigslist mashup / Chicago Crime Maps * Democratization of geographic tools Web Developers discovered Geography… What about Geographers harnessing the Web?
  • 7. What is Web 2.0? “a transformative force that’s compelling companies across all industries towards a new way of doing business characterized by harnessingcollective intelligence, openness, and network effects” --Tim O’Reilly
  • 8. What is a GIS? A digital representation of the earth, structured to support analysis (Dobson, 2007) Automated systems for the collection, storage, retrieval, analysis, and display of spatial data (Clarke, 1995) Should also include dissemination Composed on software, hardware, and people
  • 9.
  • 12. Internet as a platform
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19. Figure 3, Kelmelis et al 2006
  • 20. The Disaster Cycle Warning / Evacuation & Response / Recovery Need information quick Get everyone on the same page High resolution imagery ‘Common Operating Picture’ Harness volunteers and mobile technology
  • 21.
  • 22.
  • 23. Open Street Map – Haiti Edits Video http://vimeo.com/9182869
  • 24.
  • 25. The Disaster Cycle Reconstruction / Rehabilitation Begin building larger datasets Cadastre, elevation, hydro Focus on logistics, program oversight, monitoring
  • 26.
  • 27.
  • 28. The Disaster Cycle Redevelopment / Sustainable Development Modeling of future hazards Filling data gaps from recent disaster Modeling potential economic development
  • 29.
  • 30.
  • 31.
  • 32.
  • 33. Unifying Data Streams / Approaches We need to build WebGIS that combine the best of these two worlds? User Centered Design, clean interfaces, high levels of participation / low barrier to entry Large data processing, terrain and image processing, statistical modeling, demographic analysis
  • 34. Recommendations Datasets prepacked and ready to go Understand data licenses Preprocess hazard risks (floods, earthquakes,…) Analytical products as web services Humanitarian Data Model / Ontology
  • 35. Thanks! Email: jsc1@ku.edu Blog: http://disruptivegeo.com Twitter: disruptivegeo Slideshare: jscampbell1