Enabling Collaborative Analytics for Faster Answers in Crisis

Post on 16-May-2015

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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: kate@geocommons.com

Enabling Collaborative Analytics for Faster Answers in a Crisis

Response Data Sources

• Traditional Responders• Volunteer Technical Communities• Affected Populations• Diaspora• Others…

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

http://biosurveillance.typepad.com/

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

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: 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

Flickr user: Fabio Marini CC-BY

Nothing, Sunny Day Here!

Moral/Conclusion?

Key Conditions for Collaborative Analysis

Make it:• Easy• Traceable• Sharable• Recognize• Improvable

Crowdsourcing Analytics(the sky is not falling)

Kate Chapmant: @wonderchooke: kate@geocommons.com

Thanks!