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Information Management 2.0<br />Gísli Ólafsson<br />Disaster Management Advisor<br />gislio@live.com<br />http://blog.disa...
“Information itself is very directly about saving lives. If we take the wrong decisions, make the wrong choices about wher...
Information Economics<br />
Sub <br />OSOCC<br />Airport<br />RDC<br />OSOCC<br />Pakistan 2005<br />
Muzaffarabad<br />
No Reinforced Concrete<br />
Map – Day 1-3<br />
Map – Day 3+<br />
Working Conditions<br />
In most of the twelve clusters established, cluster coordinators continue to struggle without the capacity required to coo...
Data Collection<br />Data Collation/<br />Processing<br />Data Analysis<br />Information Dissemination<br />Decisions<br /...
The Role of ICT<br />
Issues and limitations<br />Information silos<br />Time zone differences<br />Organizational boundaries<br />Information c...
Connectivity<br />
Big World – Small World<br />
Coordinating the chaos<br />
Normal (routine emergencies)<br /><ul><li>People relate as roles
People are the problem
Orgs are the solution</li></ul>Disaster<br /><ul><li>Relate as People
Orgs are the problem
People are the solution</li></ul>Catastrophe<br /><ul><li>Society breaks down
No relationships – survival
Only happened a few times (Hiroshima)</li></ul>E=mc2 of disasters<br />
Sources of Information<br />
Social Media<br />
Crowds<br />
Open Street Maps in Haiti<br />
DATA VOLUME = <br /># of Forms Collected x Number/Type of Questions x Periodicity (Frequency of data collection)<br />Data...
PRIORITIZATION GRAPH FOR DATA COLLECTION IN EMERGENCIES<br />High <br />PRIORITY #1<br />OPERATIONAL<br />IMPORTANCE<br />...
Data Processing<br />
<ul><li> noise becomes data when it has a cognitive pattern
 data becomes information when its assembled into a coherent whole which can be related to other information
 information becomes knowledge when its integrated with other information in a form that is useful for making decisions an...
 knowledge becomes understanding when related to other knowledge in a manner useful in anticipating, judging and acting,
 understanding becomes wisdom when its informed by purpose, ethics, principals, memory and projection</li></ul>			Dee Hock...
Information Processing Framework<br />
Project 4636<br />
Dealing With Ambiquity<br />
Swift River<br />
Information Analysis<br />
Situational Analysis<br />
Phase 1<br />Phase 2<br />Phase 3<br />Phase 4<br />Information Availability<br />Risk Critical Decisions<br />FLASH<br />...
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Information Management 2.0

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A presentation I gave as part of a Disaster Leadership course at Tulane University in New Orleans. This presention is about the importance of good information management and how technology, especially social media can play a role.

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Information Management 2.0

  1. 1. Information Management 2.0<br />Gísli Ólafsson<br />Disaster Management Advisor<br />gislio@live.com<br />http://blog.disasterexpert.org<br />Twitter: @gislio<br />
  2. 2. “Information itself is very directly about saving lives. If we take the wrong decisions, make the wrong choices about where we put our money and our effort because our knowledge is poor, we are condemning some of the most deserving to death or destitution.”<br />John Holmes, UN Emergency Relief Coordinator <br />Importance of Information<br />
  3. 3. Information Economics<br />
  4. 4. Sub <br />OSOCC<br />Airport<br />RDC<br />OSOCC<br />Pakistan 2005<br />
  5. 5. Muzaffarabad<br />
  6. 6. No Reinforced Concrete<br />
  7. 7. Map – Day 1-3<br />
  8. 8. Map – Day 3+<br />
  9. 9. Working Conditions<br />
  10. 10. In most of the twelve clusters established, cluster coordinators continue to struggle without the capacity required to coordinate efficiently the large number of partners involved in the operation. One month into the response, only a few clusters have fully dedicated cluster coordinators, information management focal points and technical support capacity, all of which are basic requirements for the efficient management of a large scale emergency operation. This lack of capacity has meant that several clusters have yet to establish a concise overview of needs and develop coherent response plans, strategies and gap analyses. This is beginning to show and is leading others to doubt our ability to deliver. <br />John Holmes‘ email to Global Cluster Leads<br />
  11. 11. Data Collection<br />Data Collation/<br />Processing<br />Data Analysis<br />Information Dissemination<br />Decisions<br />Information Management Continuum<br />
  12. 12. The Role of ICT<br />
  13. 13. Issues and limitations<br />Information silos<br />Time zone differences<br />Organizational boundaries<br />Information capture/persistence<br />Lack of efficiency/delays<br />Version control issues<br />Security violations<br />Access issues<br />Etc.<br />Consumersocialnetworks<br />Phone<br />E-mail<br />Fax<br />Face-to-face<br />Messaging<br />How People Work Together Now<br />File shares<br />Paper-based<br />
  14. 14. Connectivity<br />
  15. 15. Big World – Small World<br />
  16. 16. Coordinating the chaos<br />
  17. 17. Normal (routine emergencies)<br /><ul><li>People relate as roles
  18. 18. People are the problem
  19. 19. Orgs are the solution</li></ul>Disaster<br /><ul><li>Relate as People
  20. 20. Orgs are the problem
  21. 21. People are the solution</li></ul>Catastrophe<br /><ul><li>Society breaks down
  22. 22. No relationships – survival
  23. 23. Only happened a few times (Hiroshima)</li></ul>E=mc2 of disasters<br />
  24. 24. Sources of Information<br />
  25. 25. Social Media<br />
  26. 26. Crowds<br />
  27. 27. Open Street Maps in Haiti<br />
  28. 28. DATA VOLUME = <br /># of Forms Collected x Number/Type of Questions x Periodicity (Frequency of data collection)<br />Data Volume<br />
  29. 29. PRIORITIZATION GRAPH FOR DATA COLLECTION IN EMERGENCIES<br />High <br />PRIORITY #1<br />OPERATIONAL<br />IMPORTANCE<br />PRIORITY #2<br />PRIORITY #3<br />Low <br />Easy <br />Medium <br />Hard<br />TIME / EFFORT INVOLVED TO GET DATA<br />Data Collection Prioritization<br />
  30. 30. Data Processing<br />
  31. 31. <ul><li> noise becomes data when it has a cognitive pattern
  32. 32. data becomes information when its assembled into a coherent whole which can be related to other information
  33. 33. information becomes knowledge when its integrated with other information in a form that is useful for making decisions and determining actions,
  34. 34. knowledge becomes understanding when related to other knowledge in a manner useful in anticipating, judging and acting,
  35. 35. understanding becomes wisdom when its informed by purpose, ethics, principals, memory and projection</li></ul> Dee Hock, 1996<br />Why we process information<br />
  36. 36. Information Processing Framework<br />
  37. 37. Project 4636<br />
  38. 38. Dealing With Ambiquity<br />
  39. 39. Swift River<br />
  40. 40. Information Analysis<br />
  41. 41. Situational Analysis<br />
  42. 42. Phase 1<br />Phase 2<br />Phase 3<br />Phase 4<br />Information Availability<br />Risk Critical Decisions<br />FLASH<br />CERF<br />Review<br />T<br />+2<br />+14<br />+28<br />+60<br />Days<br />Decision Making<br />
  43. 43. Decisions/Considerations<br />
  44. 44. Information<br />Planning<br />Implement<br />Review<br />Resources<br />Needs<br />Hazards<br />Mandate <br />Situation Access<br />Effective<br />Intervention<br />Operational Plan<br />Briefing <br />Communicating<br />Controlling<br />Feedback<br />Review<br />Decision Making<br />
  45. 45. Situation Reports<br />
  46. 46. 3W – Who What Where<br />
  47. 47. OneResponse<br />
  48. 48. Convince partner to share<br />Add value to information<br />Partner sees net benefit<br />Disseminate quickly<br />IM as a value added service<br />
  49. 49. Information Dissemination 2.0<br />
  50. 50. Facilitated<br />Knowledge Management<br />Collaborative<br />Workgroups<br />Social<br />Networks<br />Evolution<br />
  51. 51. Discussion Boards<br />Comments<br />Podcasting<br />Shared Calendars<br />Microblogging<br />Versioning<br />Profiles<br />Document Libraries<br />Team Sites<br />Tags<br />Blogs<br />Task Lists<br />Wikis<br />Surveys<br />Ratings<br />EnterpriseCollaboration<br />Capabilities<br />SocialComputing<br />Technologies<br />DisasterCommunities<br />The Need for Communities<br />
  52. 52. Source: xkcd, http://xkcd.com/386/<br />Thank You!<br />

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