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Small ideas
 Sanjana Hattotuwa
    TED Fellow
Focus on process, not just spikes
Narrow band over time adds richness, full spectrum adds context




                                                        Local language(s)
                                                        Culture
                                                        Local actors
                                                        Diaspora
                                                        Hagiography and myth
                                                        Identity and power
                                                        Partisan politics
                                                        Regional power blocs
                                                        Inequity
                                                        Demographics (Youth)
                                                        Civic media
                                                        Verbal storytelling
filter bubbles
• "A Squirrel Dying In Your Front Yard May Be More Relevant To Your Interests Right Now Than
  People Dying In Africa", Mark Zuckerberg, creator of Facebook


• Human gatekeepers being replaced by algorithmic gatekeepers.

                                           http://www.ted.com/talks/eli_pariser_beware_online_filter_bubbles.html




• A new, pervasive, almost invisible, systemic filtering?
filtering to counter filter bubbles
• Ushahidi SwiftRiver | http://ushahidi.com/products/swiftriver-platform




                                               SwiftRiver is a platform that helps people make sense
                                               of a lot of information in a short amount of time.

                                               In practice, SwiftRiver enables the filtering and
                                               verification of real-time data from channels like
                                               Twitter, SMS, Email and RSS feeds.


  http://www.youtube.com/watch?v=Tb0Gs7vtrgk
open data
open data
open data in government
open data in government
open data by NGOs
open data on NGOs
CiM drivers from other domains
• Music industry (pattern based search, e.g. Pandora’s technical + human indexing), social
  networking (group collaboration,e.g. LinkedIn, Facebook), social networking search (e.g.
  Grepling), mobile phone apps (e.g. Guardly), marketing engines (e.g. adaptive persuasion
  profiling), digital forensics (e.g. hyperspectral imaging with UAVs), ground truth profiling (e.g.
  UNOSAT images on Sri Lanka) many sourcing for situational awareness (e.g. Microsoft
  Photosynth), Open Data Initiatives (e.g. British, US govt’s, World Bank), visualisation (e.g.
  Infomous)
Thank you
sanjanahattotuwa@ict4peace.org

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The future of Crisis Information Management: Some drivers

  • 1. Small ideas Sanjana Hattotuwa TED Fellow
  • 2. Focus on process, not just spikes Narrow band over time adds richness, full spectrum adds context Local language(s) Culture Local actors Diaspora Hagiography and myth Identity and power Partisan politics Regional power blocs Inequity Demographics (Youth) Civic media Verbal storytelling
  • 3. filter bubbles • "A Squirrel Dying In Your Front Yard May Be More Relevant To Your Interests Right Now Than People Dying In Africa", Mark Zuckerberg, creator of Facebook • Human gatekeepers being replaced by algorithmic gatekeepers. http://www.ted.com/talks/eli_pariser_beware_online_filter_bubbles.html • A new, pervasive, almost invisible, systemic filtering?
  • 4. filtering to counter filter bubbles • Ushahidi SwiftRiver | http://ushahidi.com/products/swiftriver-platform SwiftRiver is a platform that helps people make sense of a lot of information in a short amount of time. In practice, SwiftRiver enables the filtering and verification of real-time data from channels like Twitter, SMS, Email and RSS feeds. http://www.youtube.com/watch?v=Tb0Gs7vtrgk
  • 7. open data in government
  • 8. open data in government
  • 10. open data on NGOs
  • 11. CiM drivers from other domains • Music industry (pattern based search, e.g. Pandora’s technical + human indexing), social networking (group collaboration,e.g. LinkedIn, Facebook), social networking search (e.g. Grepling), mobile phone apps (e.g. Guardly), marketing engines (e.g. adaptive persuasion profiling), digital forensics (e.g. hyperspectral imaging with UAVs), ground truth profiling (e.g. UNOSAT images on Sri Lanka) many sourcing for situational awareness (e.g. Microsoft Photosynth), Open Data Initiatives (e.g. British, US govt’s, World Bank), visualisation (e.g. Infomous)