Experiments on Crowdsourcing Policy Assessment

Can Crowds serve as useful allies in policy design? How do non-expert Crowds perform relative to experts in the assessment of policy measures? Does the geographic location of non-expert Crowds, with relevance to the policy context, alter the performance of non-experts Crowds in the assessment of pol...

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Main Authors: Prpić, John, TAEIHAGH, Araz, Melton, James
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2014
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Online Access:https://ink.library.smu.edu.sg/soss_research/1854
https://ink.library.smu.edu.sg/context/soss_research/article/3111/viewcontent/Araz_2014_ExperimentsCrowdsourcingPolicyAssessment.pdf
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spelling sg-smu-ink.soss_research-31112016-09-30T04:08:08Z Experiments on Crowdsourcing Policy Assessment Prpić, John TAEIHAGH, Araz Melton, James Can Crowds serve as useful allies in policy design? How do non-expert Crowds perform relative to experts in the assessment of policy measures? Does the geographic location of non-expert Crowds, with relevance to the policy context, alter the performance of non-experts Crowds in the assessment of policy measures? In this work, we investigate these questions by undertaking experiments designed to replicate expert policy assessments with non-expert Crowds recruited from Virtual Labor Markets. We use a set of ninety-six climate change adaptation policy measures previously evaluated by experts in the Netherlands as our control condition to conduct experiments using two discrete sets of non-expert Crowds recruited from Virtual Labor Markets. We vary the composition of our non-expert Crowds along two conditions: participants recruited from a geographical location directly relevant to the policy context and participants recruited at-large. We discuss our research methods in detail and provide the findings of our experiments. 2014-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soss_research/1854 https://ink.library.smu.edu.sg/context/soss_research/article/3111/viewcontent/Araz_2014_ExperimentsCrowdsourcingPolicyAssessment.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School of Social Sciences eng Institutional Knowledge at Singapore Management University Crowdsourcing Crowdsourcing Experiment Policy Assessment Climate Change Expert Policy Assessment Non-Expert Policy Assessment Virtual Labor Markets Crowds Policy Measures Experimental Methods Climate Change Adaptation Political Science Public Affairs, Public Policy and Public Administration
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Crowdsourcing
Crowdsourcing Experiment
Policy Assessment
Climate Change
Expert Policy Assessment
Non-Expert Policy Assessment
Virtual Labor Markets
Crowds
Policy Measures
Experimental Methods
Climate Change Adaptation
Political Science
Public Affairs, Public Policy and Public Administration
spellingShingle Crowdsourcing
Crowdsourcing Experiment
Policy Assessment
Climate Change
Expert Policy Assessment
Non-Expert Policy Assessment
Virtual Labor Markets
Crowds
Policy Measures
Experimental Methods
Climate Change Adaptation
Political Science
Public Affairs, Public Policy and Public Administration
Prpić, John
TAEIHAGH, Araz
Melton, James
Experiments on Crowdsourcing Policy Assessment
description Can Crowds serve as useful allies in policy design? How do non-expert Crowds perform relative to experts in the assessment of policy measures? Does the geographic location of non-expert Crowds, with relevance to the policy context, alter the performance of non-experts Crowds in the assessment of policy measures? In this work, we investigate these questions by undertaking experiments designed to replicate expert policy assessments with non-expert Crowds recruited from Virtual Labor Markets. We use a set of ninety-six climate change adaptation policy measures previously evaluated by experts in the Netherlands as our control condition to conduct experiments using two discrete sets of non-expert Crowds recruited from Virtual Labor Markets. We vary the composition of our non-expert Crowds along two conditions: participants recruited from a geographical location directly relevant to the policy context and participants recruited at-large. We discuss our research methods in detail and provide the findings of our experiments.
format text
author Prpić, John
TAEIHAGH, Araz
Melton, James
author_facet Prpić, John
TAEIHAGH, Araz
Melton, James
author_sort Prpić, John
title Experiments on Crowdsourcing Policy Assessment
title_short Experiments on Crowdsourcing Policy Assessment
title_full Experiments on Crowdsourcing Policy Assessment
title_fullStr Experiments on Crowdsourcing Policy Assessment
title_full_unstemmed Experiments on Crowdsourcing Policy Assessment
title_sort experiments on crowdsourcing policy assessment
publisher Institutional Knowledge at Singapore Management University
publishDate 2014
url https://ink.library.smu.edu.sg/soss_research/1854
https://ink.library.smu.edu.sg/context/soss_research/article/3111/viewcontent/Araz_2014_ExperimentsCrowdsourcingPolicyAssessment.pdf
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