Presentation given at the UN Crisis Information Management Group (CiMAG)

1. CiM ~ Tools & Thinking
Sanjana Hattotuwa
TED Fellow | ICT4Peace Foundation

2. new demographics
social witnessing

5. new cartographies
crowdsourcing and crisis mapping

6. grassroots mapping | new cartographies
http://publiclaboratory.org/sites/default/files/4445981062_73945db207_b_2.jpg

7. http://grassrootsmapping.org

8. grassroots mapping | new cartographies
http://grassrootsmapping.org/gulf-oil-spill

9. map kibera community mapping
http://mapkibera.org

10. seeing
data visualisation

11. Infogram: data driven narratives
http://infogr.am/beta

12. Easel.ly: data driven narratives
http://www.easel.ly

13. timeline: temporal narratives
http://timeline.verite.co

14. timetoast: temporal narratives
http://www.timetoast.com

15. wordle.net: word clouds
http://groundviews.org/2011/05/11/from-draft-to-official-text-wikileaks-reveals-the-us-
response-to-the-end-of-war-in-sri-lanka/

16. bundling social media, adding value through curation
http://www.bundlr.com | http://www.storify.com

17. infoviz & zui’s
plotting, panning, zooming

18. photosynth: many eyes, context provisioning
http://photosynth.net/view.aspx?cid=f3a648b8-7a4c-4bc4-8396-5746d86225b6

19. prezi: scale and context
http://prezi.com/4cghil5ghukn/iccm-day-1/

20. prezi: scale and context
http://prezi.com/4cghil5ghukn/iccm-day-1/

21. silverlight: scale and context
http://memorabilia.hardrock.com

22. sensing
crowdsourcing and web agents

23. Detecting Emergent Conflicts through Web Mining and Visualization
http://irevolution.files.wordpress.com/2011/10/detecting-emergent-conflicts-through-web-mining-and-visualization.pdf

24. sourcing
mobile apps

25. The App Builder: Apps as service
http://www.theappbuilder.com/index.aspx

26. sourcing
web apps

27. recorded future: web data mining for analysis
https://www.recordedfuture.com

28. swift river: real time web data mining
http://ushahidi.com/products/swiftriver-platform

29. verifying
distributed intelligence

30. LRA crisis tracker
http://lracrisistracker.theresolve.org

31. LRA crisis tracker | Verification
http://lracrisistracker.theresolve.org/sites/default/files/Map-Methodology-and-Database%20Codebook%20v1.0.pdf

32. JPquake Site: crowdsourcing media reports
http://www.jpquake.info

33. Massive data analytics
http://tomnod.com

34. Christchurch: damage assessment
http://tomnod.com/geocan/

35. challenges
radical transparency vs. privacy

36. Blurring private, sovereign and public
@BeijingAir | https://twitter.com/#!/BeijingAir

37. Watch Dogs: Surveillance vs. public good
http://watchdogs.ubi.com/watchdogsgame/en-US/home

38. challenges
retention, revival and access

39. timescale: natural disaster
social media growth
Tweets per minute
100
50
35
30
20
15
10
10
1st week 2nd week 3rd week 4th week 5th week 6th week

40. timescale: CPE / political crisis
social media growth
Tweets per month (100’s)
100
50
45
30 30
25
15 15
10
10
Jan Feb March April May June July Aug

41. timescale: revolution / social upheaval
social media growth
Tweets per month (100’s)
100
100
50 55 50
40
35
15
10
10
Jan Feb March April May June July Aug

42. timescales: social media tracking differs
depending on nature of contemporary events
Natural disaster CPE Revolution 2.0
100 100 100
100
50 45 50 50 55 50 40
35 30 25 30 30 35
10 15 20 10 15 15 10 15
10 10 10
1st week 4th week Jan March May July Jan March May July

43. timescales: of long-term recovery
disaster +180 days
Production of tweets (100’s) Requests for info
e.g. dengue outbreak in IDP camp
100
40
35
30
25 25
20 20
15
10
Jan Feb March April May June July Aug

44. timescales: of justice
crisis / revolution +5 - 10 years or more
In-country tweets (100’s)
ICC/International media tweets (100’s) e.g. war crimes tribunal
70
65
60
55
50
45
40 40 40
35 35 35
30
25
15
10
Jan Feb March April May June July Aug

45. frankensteins of social media
keeping expired information alive, and bringing history to present
100
50 35
10 30 20 Capture
10 15
Curation
1st week 5th week
Archival / Retention
100 Sunset? / Expiry?
10 25
45 30 50
30 Sharing
10 15 15
Standards and platforms
Jan April July
Maintenance
100 Data governance
100
35 50
55 50 40 Access
10
10 15 Use cases (do no harm? / fair?)
Jan March May July

46. the new revolutions
http://revolution2book.com
"I don't personally trust any tool," he
said. "I trust the people behind the
tool." And that remains the most
important lesson of Revolution 2.0.
Technology is just an enabler. It is
what people decide to do with it
that matters most.
Wael Ghonim

47. thank you
sanjanahattotuwa@ict4peace.org