---------- Forwarded message ---------- From: Angela Crandall <angelac@ihub.co.ke> Date: Fri, Aug 30, 2013 at 12:09 AM Subject: [TIER] iHub Research's 3Vs Framework for Crowdsourcing During Elections Released To: crisismappers@googlegroups.com, TIER@tier.cs.berkeley.edu, ictd-researchers-in-africa-network@googlegroups.com Dear fellow researchers, crowd mappers, and media stakeholders, On behalf of the iHub Research <http://www.ihub.co.ke/research> Crowdsourcing Research Group, I am happy to announce that the results of our research on developing a crowd sourcing framework for an election context are now out. Over the past 6 months we have been looking at a commonly held assuption that crowd sourced information captures more information about the on-the-ground reality than traditional media outlets like television and newspapers. We used the Kenyan General Elections in March 2013 as a case study to compare information collected from the crowd with results collected by traditional media and other sources. You can download the final report<http://www.ihub.co.ke/ihubresearch/jb_VsReportpdf2013-8-29-07-38-56.pdf> , framework document<http://www.ihub.co.ke/ihubresearch/jb_CrowdsourcingFrameworkpdf2013-8-29-13-54-29.pdf>, and framework visual<http://www.ihub.co.ke/ihubresearch/jb_CrowdsourcingInfographiceditpdf2013-8-29-13-59-05.pdf> at the indicated links. A special thank you to Canada's International Development Research Centre for their funding support. We look forward to receiving any comments and questions. Cheers, -- Angela Crandall iHub Research - Driving local tech research in East Africa Discovery, Knowledge, Sharing - www.ihub.co.ke Twitter: @iHub | @iHubResearch +254 735 070 518 / +1 808 358 8563 | Skype: angela_crandal www.research.ihub.co.ke | Twitter: @Honoluluskye _______________________________________________ TIER mailing list Website: http://tier.cs.berkeley.edu TIER@tier.cs.berkeley.edu https://www.millennium.berkeley.edu/cgi-bin/mailman/listinfo/tier