This document discusses the humanitarian applications of big data that were presented at the ICCM2013 conference in Nairobi, Kenya. It outlines different types and qualities of data like packet data, metadata, media and content that pose problems like variety, velocity and volume for humanitarian organizations. These big data problems increase exponentially in complexity. The talk presented how humanitarian groups can quantify, qualify and query big data to help with risk analytics, media monitoring and other efforts. It credits sources that informed the discussion and examples of projects applying big data for humanitarian aims.

1. THE HUMAN FACE
THE HUMANITARIAN FACE!
OF
ICCM 2013!
Nairobi, Kenya

2. “The Humanitarian Face of Big Data”!
ICCM2013!
!
Jon Gosier !
@jongos!
!
!
jon@d8a.com

3. Packet Data
Media !
&!
Content
TYPES OF DATA
Metadata

4. Packet Data
Metadata
Media !
&!
Content

5. QUALITIES OF
DATA
PROBLEMS
Variety
Velocity
Volume

6. Velocity
Volume
Variety

7. Velocity
Volume
Variety
Data
Problems

8. Velocity
Big Data
Problems
Volume
Variety

9. 30
20
10
0
Big data problems increase in complexity exponentially.

10. Humanitarian Applications of Big Data

11. Quantify
Qualify
Query

12. Qualify

14. Quantify

16. Query

18. siftDeck
Risk Analytics & Media Monitoring
siftdeck.com

19. “The Humanitarian Face of Big Data”!
ICCM2013!
!
CREDITS!
!
Smolan, R. (2012) Human Face Of Big Data. Against All Odds Publications!
Balet, C. (2013) Strangers in the Light. Gerhard Steidl Druckerei und Verlag!
!
Photos by Josh Grow, Catherine Balet, & Peter Menzel !
!
Cited Projects: D8A.com, AidData.org, un.data.gov, Thomson Reuters, !
appfrica.com, MetaLayer.com, statfrica.com, SiftDeck.com !