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Agree Position1 #306179

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Crowdsourcing and multi-disciplinary risk assessment? »Crowdsourcing and multi-disciplinary risk assessment?Crowdsourcing and multi-disciplinary risk assessment?☜Many risk researchers see a need to improve the theory and practice of risk management, and policy organisations want alternatives to traditional practices like consulting expert opinion and resolving issues through public policy and debate. Can a suitable methodology be found to crowdsource, i.e. harness the power of a large and diverse group of people using the power of the internet, risk assessments? What are the potential upsides; where do the pitfalls appear and can these be avoided?☜F1CEB7

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Against the Proposition »Against the PropositionAgainst the Proposition☜Arguments against the proposition that crowdsourcing can facilitate multi-disciplinary risk assessment. ☜59C6EF

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The results could be manipulated or gamed for dubious purposes »The results could be manipulated or gamed for dubious purposesThe results could be manipulated or gamed for dubious purposes☜Does this mean crowdsourcing is inherently unsuited to framing a balanced risk assessment? Might it not in fact be that an open debate exposes actors operating for dubious purposes? Expert panels may have just as much potential to be manipulated - their composition might have been decided on political grounds for example.☜98CE71

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AgreeAgree☜☜59C6EF

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Lack of situational awareness »Lack of situational awarenessLack of situational awareness☜Blindly following a debate (or online, real-time information sources) can lead to a lack of situational awareness - what is being said online can be taken at face value and not challenged.☜FFB597

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Asking sufficient numbers of people might wash out bias »Asking sufficient numbers of people might wash out biasAsking sufficient numbers of people might wash out bias☜Asking sufficient numbers of people might wash out bias, particularly if the manipulation was being attempted by a small number of contributors.☜EF597B

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Entered by:- Torran Elson
NodeID: #306179
Node type: Position
Entry date (GMT): 12/11/2013 4:58:00 PM
Last edit date (GMT): 12/11/2013 4:58:00 PM
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Average rating: 5 by 1 users

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