Crowdsourcing 102: Mining Real-Time Data
Upcoming SlideShare
Loading in...5
×
 

Crowdsourcing 102: Mining Real-Time Data

on

  • 5,327 views

My talk from PDF11 representing Ushahidi and Swiftly.org.

My talk from PDF11 representing Ushahidi and Swiftly.org.

Statistics

Views

Total Views
5,327
Views on SlideShare
3,682
Embed Views
1,645

Actions

Likes
3
Downloads
39
Comments
0

16 Embeds 1,645

http://blog.swiftly.org 1307
http://paper.li 162
http://ludvikplus.posterous.com 70
http://blog.ushahidi.com 42
http://swiftriver.tumblr.com 30
http://jongosier.com 11
http://epirotludviknekaj.com 7
http://translate.googleusercontent.com 5
http://us-w1.rockmelt.com 3
url_unknown 2
http://feeds.feedburner.com 1
http://a0.twimg.com 1
http://www.slideshare.net 1
http://fabyproxy.somee.com 1
http://webcache.googleusercontent.com 1
http://kctan.tumblr.com 1
More...

Accessibility

Categories

Upload Details

Uploaded via as Adobe PDF

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

Crowdsourcing 102: Mining Real-Time Data Crowdsourcing 102: Mining Real-Time Data Presentation Transcript

  • CROWD SOURCING 102 Real-Time Data Mining and Curation with SwiftRiver Personal Democracy Forum 2011 jg@swiftly.org @jongos @swiftriverTuesday, June 7, 2011
  • About Ushahidi Notable Uses The Challenge Ushahidi is a free, open-source Ushahidi has been deployed in As the amounts of data platform used for crowdsourcing major global crisis scenarios, aggregated by Ushahidi users and visualizing data geospatially. allowing organizations to draw grows, they face a common It was born out of the 2008 situational awareness from the problem. How do they effectively election unrest when founders crowd. To date it’s been manage this realtime data? How Juliana Rotish, Erik Hersman, Ory downloaded over 15,000 times. can we help them discover Okolloh and David Kobia wanted credible and actionable info from to allow Kenyan citizens a way to S o m e o f t h e m o re n o t a b l e the deluge of reports they’ll get SMS reports of incident to know deployments include recently in from the public? The SwiftRiver what was occurring around them. Egypt, the Haiti earthquakes, the initiative was created to begin to This was one of the earliest uses fires in Russia, the Queensland answer some of these questions of crowdsourcing for crisis floods in Australia. for Ushahidi deployers. response.Tuesday, June 7, 2011
  • “It’s not information overload. It’s filter failure.” - Clay ShirkyTuesday, June 7, 2011
  • PLATFORM GOALS Consider the context, relevance defined by the user Offer an opt-in global database of trust and authority Algorithms augment, but not define, human decision making Work across media channels (Twitter, Email, Feeds, SMS) Be accessible (offline/online/mobile) Index massive amounts of the mobile/social webTuesday, June 7, 2011
  • THIS IS A DATA PROBLEMTuesday, June 7, 2011
  • DATA IS AGNOSTICTuesday, June 7, 2011
  • STRATEGY Operate more like a startup than activists Test humanitarian solutions in a business context Journalists, Private Sector, NGOs & Government Agencies Build internal engineering capacityTuesday, June 7, 2011
  • PROGRESS 7,000+ downloads in 6 months 7,000+ API Users 100,000+ Lines of code 5 APIs and 2 Apps Data Items Processed - 70,000,000 (liberal extrapolation)Tuesday, June 7, 2011
  • Tuesday, June 7, 2011
  • Tuesday, June 7, 2011
  • Tuesday, June 7, 2011
  • ABC Australia DeploymentTuesday, June 7, 2011
  • Sweeper - User InterfaceTuesday, June 7, 2011
  • CROWD SOURCING 102 Real-Time Data Mining and Curation with SwiftRiver jg@swiftly.org @jongos @swiftriverTuesday, June 7, 2011