Recognize that everyone here is dedicated to making businesses and organizations better prepared for the unexpected\n Recognize that the marketplace expects (and relies upon) uptime and continuation of service\n
08302011 cc vtc_risk
Panel Discussion:Liability & Reliability of Crowdsourced & Volunteer Information in Disaster Management Part 1 - Domestic Emergency Preparedness Woodrow Wilson Center for International Scholars and NAPSG Foundation August 30, 2011 Washington DC Deborah ShaddonCrisisCommons Technology Community Infrastructure Lead and Insurance IT Professional www.crisiscommons.org firstname.lastname@example.org Twitter/Skype: @deborahshaddon
CrisisCommonsCrisis Commons is a global network of volunteers who use creative problem solving and opentechnologies to help people and communities in times and places of crisis. Crisis Commons members organize response events called CrisisCamps. Haiti and Chili Response: 90 days 8 countries, 50 events +2000 volunteers
VTC: Volunteer Technology Communities• Volunteer Technical Communities 1 Sahana Foundation 2 Ushahidi, Swift River and Crowdmap 3 OpenStreetMap, HotOSM 4 Frontline SMS 5 Crisismappers, SBTF 6 CrisisCommons 7 Random Hacks of Kindness 8 Humanity Road 9 Geeks without Bounds 10 Geo-CAN 11 HFOSS and more
Crowdsource Mapping 101Ushahidi 101:Ask: What do you see? What do you need?Bubbles = # of reportsEach report has a category or categories.Volunteers research, add and verify these reports.Reports can be submitted by email, social media, web form, or SMS.
Crowd Mapped Data - Veriﬁability and Reliability Concerns• Who in the crowd is submitting the data: • Veriﬁable sources? • Trusted sources? • Trained sources? • Sustainability and reach of the ‘crowd’?• Quality of Data: • Timeliness, Completeness,Validated? • Implicit or Explicit quality? • Accuracy of data sources?
Even non-crowdsourced map data can be wrong * Google Maps - OK (public domain, private licensed) * OpenStreetMaps - OK (public domain, public crowdsourced) * Vehicle GPS - Wrong (private domain private license)
Crowd Mapped Data - Veriﬁability and Reliability Approaches• Multiple layers of validation (triangulation)• Training and Trust (SBTF, Humanity Road)• Cross/Multiple-source Validation• Crowd correctness measures (self correcting for sustainable crowds)• Automation (SwiftRiver)• Proven methodologies• Combination of techniques
Data Risk and Liability Concerns to Address Today• Risk to Volunteers: Afﬁliated and unafﬁliated “volunteers” (domestic/by-state good-samaritan may not cover virtual volunteers)? Volunteer and source traceability?• Risk to EM Community: Bad data could compromise preparedenss allocation, and emergency response?• Risks to Public: Public makes decisions based unveriﬁable or purposely incorrect data?