Towards comprehensive community based disaster management


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Presentation at the Social Computing and Crisis in the New Information Age ISC Intelligence in science event

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Towards comprehensive community based disaster management

  1. 1. Social Computing and Crisis in the New Information Age Marc van den Homberg, 8th of October 2013
  2. 2. Topics HFM-RWS 241 “Social Media and Information Technology for Disaster and Crisis Response” Current practices in information sharing Novel technologies for information sharing and disaster information coordination Social trust, social cyber-threats, and related socio-culture aspects Development of an exercise in information sharing in a disaster scenario.
  3. 3. Current practices in information sharing Source: UN OCHA Humanitarianism in the network age, 2013, Nethope report 2010
  4. 4. New practices…
  5. 5. New practices, social media Traditional practices of information sharing
  6. 6. Challenges of information sharing between affected and supporting community Multitude of data sources Coupling of traditional with social media data Aggregation and validation of data Information not well adapted to local context (illiteracy, language, documented expertise vs storytelling) Technology gap Using too advanced technology which does not ‘reach’ communities Often one-way communication, with a very limited feedback loop Collaboration gaps Reluctance between actors to share information Professionals versus volunteer communities
  7. 7. Novel technologies for information sharing and disaster information coordination
  8. 8. Community based comprehensive recovery
  9. 9. Collaboration gaps right after a disaster
  10. 10. From external response to community driven crisis response Current response models mostly between affected community and responding professionals responding professionals affected community resilient community COBACORE includes the interaction with responding community responding community individual and collective capabilities individual and collective needs 10 COBACORE; EU FP7 project No. 313308
  11. 11. Expert finder
  12. 12. Pluralism monitor Media mining Press freedom Zimbabwe Global Expert panel for validation (media experts, a.o. IPDC UNESCO) Data acquisition Annotation Analysis Interpretation
  13. 13. SENTIMENT ATTENTION TOPICS ACTORS Topics (e.g., agriculture, politics, economy) Election news or not Foreign news versus national and local news Specific events Regions Individuals names affiliations (with groups in society) gender of individuals pro or against government function (MP, minister, ..) political party government versus opposition Groups religious ethnic NGO political party Tone (positive/negative) Use of hate speech
  14. 14. Incremental supervised learning architecture Online news incremental learning Text analysis engine Topic detection/ classification Annotation DB/KB Sentiment analysis supervision Named entity recognition
  15. 15. Demo: text mining on news data in action!
  16. 16. Twitcident Filtering social media (tweets) to obtain real-time intelligence for support of operational emergency services. Also for prevention and analysis.
  17. 17. Contact details Marc van den Homberg T +31 88 8667135 Senior business consultant ICT4D M +31 6 51069884 Oude Waalsdorperweg 63, 2597 AK Den Haag E The Netherlands S marcvandenhomberg