Enabling Collaborative Analytics for Faster Answers in Crisis
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Kate Chapman t: @wonderchook e: [email protected] Enabling Collaborative Analytics for Faster Answers in a 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.
Transcript of Enabling Collaborative Analytics for Faster Answers in Crisis
Kate Chapmant: @wonderchooke: [email protected]
Enabling Collaborative Analytics for Faster Answers in a Crisis
Response Data Sources
• Traditional Responders• Volunteer Technical Communities• Affected Populations• Diaspora• Others…
Data Deluge
Flickr user: fernashes CC-BY
Traditional Analytics
Analyst
Data
Data
Data
Report
Report
Report
Decision Maker
Analytics Communities DevelopingMap Courtesy of Jim Malone
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 surge associated 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)
Talbot Brooks – Delta State University 3/2/2010
How to Foster Further Analytics?
Make Analytics Easy(Everyone likes pictures)
Make Terms Easy(But allow the deep dive)
Make Collaboration Easy
Make Results Traceable
Make Results Extendable
Analyst
Data
Data
Data
Information
Information
Information
Analyst
Before…
Analyst
Data
Data
Data
Report
Report
Report
Decision Maker
Help Spark the Community
Recognize Good Results
Help Make Results Better
Let’s See it in Action!!!
Flickr user: wit CC-BY
Flickr user: doortoriver CC-BY
THE SKY IS FALLING!!!!
Really Chicken Little?
Flickr user: doortoriver CC-BY
We Better Tell the King!
Flickr user: doortoriver CC-BY
THE SKY IS FALLING!!!
Flickr user: Mostly Dans CC-By
Hey guys!
Flickr user: doortoriver CC-BY
How it could have gone…
Flickr user: doortoriver CC-BY
THE SKY IS FALLING!!!!
Why not use a different geography?
Why not standardize your data?
Is it falling close to anywhere important?
Checkout this model I built
What’s wrong guys?
Flickr user: Mostly Dans CC-By
Moral/Conclusion?
Key Conditions for Collaborative Analysis
Make it:• Easy• Traceable• Sharable• Recognize• Improvable
Crowdsourcing Analytics(the sky is not falling)
