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ICT for Disaster Resilience Bern Shen MD CDC/PIHOA workshop Honolulu, 5 Feb 2013.

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Presentation on theme: "ICT for Disaster Resilience Bern Shen MD CDC/PIHOA workshop Honolulu, 5 Feb 2013."— Presentation transcript:

1 ICT for Disaster Resilience Bern Shen MD CDC/PIHOA workshop Honolulu, 5 Feb 2013

2 Problem statement & solution hypothesis Enabling technology trends Use cases Legal, policy & implementation issues 2

3 Properties of resilience –Robustness –Redundancy –Resourcefulness –Rapidity Dimensions of resilience –Technical –Organizational –Social –Economic 3 Problem statement & solution hypothesis In an emergency, you must treat information as a commodity as important as the more traditional and tangible commodities like food, water, and shelter. Jane Holl Lute, Deputy Secretary, Homeland Security (Lesperance, et. al, 2010:3)

4 Enabling tech trends First text msg sent First commercial SMS service Twitter founded, Facebook opens to general public US mobile subscribers send & receive more texts than voice calls More than half of US owns smart phones; 60,000+ health apps Global SMS traffic, Global mobile subscriptions, 10 9

5 Use cases 2009 flu pandemic – Twitter, texting, YouTube 2010 Haiti earthquake – Ushahidi, Facebook 2010 Deepwater oil spill – texting Others… 5 We've seen now… from wildfires in California and Boulder to the recent ice storm and snowstorms...the public is putting out better situation awareness than many of our own agencies can with our official datasets. - Craig Fugate, FEMA Administrator, 2011

6 ICT/social media levels of use Monitor Command/control Coordinate Cooperate Collaborate 6 Prevention Surveillance & detection Analysis Response Remediation & recovery

7 Sample text messages 7

8 Intelligent messaging 8 A handful of generic & passive messages You should because we said so. Status Quo Yawn. No response. Volumes of inspired, actionable, evidence-based messages created & refreshed continuously Funny Message Guilty Message Gain-frame Message Emoticon :-) Message Message Optimization Communications MapCrowdsourcingLifecycle Management txt1 txt2 txt4 txt3 Dynamic messaging based on how different people respond to different messages over time using heuristic & predictive models Multidimensional heat map connecting message type, business rules & performance metrics visualizes data effectively APIs allowing content writers across the demographic spectrum to infuse the system with fresh messages using strict guidelines Natural program, patient & seasonal cycles are considered by the analytics to refresh messaging and maintain engagement rate

9 Legal, policy & implementation issues Data privacy & security Resources Infrastructure Social/cultural change Other… 9

10 10 Lets do this.


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