The future of Crisis Information Management: Some drivers
Small ideas Sanjana Hattotuwa TED Fellow
Focus on process, not just spikesNarrow 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
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)