Enabling Collaborative Analytics for Faster Answers in Crisis

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The value of crowd-sourcing for data collection has been well-proven. What about enabling the crowd to perform analysis? This allows more data to be analyzed and faster results to be obtained.

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Enabling Collaborative Analytics for Faster Answers in Crisis

  1. 1. Enabling Collaborative Analytics for Faster Answers in a Crisis<br />Kate Chapman<br />t: @wonderchook<br />e: kate@geocommons.com<br />
  2. 2. Response Data Sources<br /><ul><li>Traditional Responders
  3. 3. Volunteer Technical Communities
  4. 4. Affected Populations
  5. 5. Diaspora
  6. 6. Others…</li></li></ul><li>Data Deluge<br />Flickr user: fernashes CC-BY<br />
  7. 7. Data<br />Report<br />Data<br />Report<br />Data<br />Analyst<br />Decision Maker<br />Report<br />Traditional Analytics<br />
  8. 8. Analytics Communities Developing<br />Map Courtesy of Jim Malone<br />
  9. 9. My analysis although very incomplete indicates that high hazard exists for many, many camps with impact to 10's of thousands of survivors in the event of a storm surgeassociated with a tropical storm or tsunami,I am very interested in having my work get into the right hands so need on the ground contacts with Haitian leadership and Haitian governmental agencies.<br />Jim Malone via CrisisMappers Google Group (3/2/2010)<br />
  10. 10. Talbot Brooks – Delta State University 3/2/2010<br />
  11. 11. http://biosurveillance.typepad.com/<br />
  12. 12. How to Foster Further Analytics?<br />
  13. 13. Make Analytics Easy<br />(Everyone likes pictures)<br />
  14. 14. Make Terms Easy<br />(But allow the deep dive)<br />
  15. 15. Make Collaboration Easy<br />
  16. 16. Make Results Traceable<br />
  17. 17. Make Results Extendable<br />Data<br />Information<br />Data<br />Analyst<br />Information<br />Data<br />Analyst<br />Information<br />
  18. 18. Data<br />Report<br />Data<br />Report<br />Data<br />Analyst<br />Decision Maker<br />Report<br />Before…<br />
  19. 19. Help Spark the Community<br />
  20. 20. Recognize Good Results<br />
  21. 21. Help Make Results Better<br />
  22. 22. Let’s See it in Action!!!<br />Flickr user: wit CC-BY<br />
  23. 23. THE SKY IS FALLING!!!!<br />Flickr user: doortoriver CC-BY<br />
  24. 24. Really Chicken Little?<br />
  25. 25. We Better Tell the King!<br />Flickr user: doortoriver CC-BY<br />
  26. 26. THE SKY IS FALLING!!!<br />Flickr user: doortoriver CC-BY<br />
  27. 27. Hey guys!<br />Flickr user: Mostly Dans CC-By<br />
  28. 28. How it could have gone…<br />Flickr user: doortoriver CC-BY<br />
  29. 29. THE SKY IS FALLING!!!!<br />Flickr user: doortoriver CC-BY<br />
  30. 30. Why not use a different geography?<br />
  31. 31. Why not standardize your data?<br />
  32. 32. Is it falling close to anywhere <br />important?<br />
  33. 33. Checkout this model I built<br />
  34. 34. What’s wrong guys?<br />Flickr user: Mostly Dans CC-By<br />
  35. 35. Nothing, Sunny Day Here!<br />Flickr user: Fabio Marini CC-BY<br />
  36. 36. Moral/Conclusion?<br />
  37. 37. Key Conditions for Collaborative Analysis<br />Make it:<br /><ul><li>Easy
  38. 38. Traceable
  39. 39. Sharable
  40. 40. Recognize
  41. 41. Improvable</li></li></ul><li>Crowdsourcing Analytics<br />(the sky is not falling)<br />
  42. 42. Thanks!<br />Kate Chapman<br />t: @wonderchook<br />e: kate@geocommons.com<br />

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