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.

1. Enabling Collaborative Analytics for Faster Answers in a Crisis Kate Chapman t: @wonderchook e: kate@geocommons.com

3. Volunteer Technical Communities

4. Affected Populations

5. Diaspora

7. Data Report Data Report Data Analyst Decision Maker Report Traditional Analytics

8. Analytics Communities Developing Map Courtesy of Jim Malone

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. Jim Malone via CrisisMappers Google Group (3/2/2010)

10. Talbot Brooks – Delta State University 3/2/2010

11. http://biosurveillance.typepad.com/

12. How to Foster Further Analytics?

13. Make Analytics Easy (Everyone likes pictures)

14. Make Terms Easy (But allow the deep dive)

15. Make Collaboration Easy

16. Make Results Traceable

17. Make Results Extendable Data Information Data Analyst Information Data Analyst Information

18. Data Report Data Report Data Analyst Decision Maker Report Before…

19. Help Spark the Community

20. Recognize Good Results

21. Help Make Results Better

22. Let’s See it in Action!!! Flickr user: wit CC-BY

23. THE SKY IS FALLING!!!! Flickr user: doortoriver CC-BY

24. Really Chicken Little?

25. We Better Tell the King! Flickr user: doortoriver CC-BY

26. THE SKY IS FALLING!!! Flickr user: doortoriver CC-BY

27. Hey guys! Flickr user: Mostly Dans CC-By

28. How it could have gone… Flickr user: doortoriver CC-BY

29. THE SKY IS FALLING!!!! Flickr user: doortoriver CC-BY

30. Why not use a different geography?

31. Why not standardize your data?

32. Is it falling close to anywhere important?

33. Checkout this model I built

34. What’s wrong guys? Flickr user: Mostly Dans CC-By

35. Nothing, Sunny Day Here! Flickr user: Fabio Marini CC-BY

36. Moral/Conclusion?

38. Traceable

39. Sharable

40. Recognize

42. Thanks! Kate Chapman t: @wonderchook e: kate@geocommons.com