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.
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
Internet, Policy and Politics Conference 2014: Crowdsourcing for Politics and Policy, September 25-26
City or Country
Prpić, John, TAEIHAGH, Araz, & Melton, James.(2014). Experiments on Crowdsourcing Policy Assessment. Paper presented at the Internet, Policy and Politics Conference 2014: Crowdsourcing for Politics and Policy, September 25-26, Oxford.
Available at: http://ink.library.smu.edu.sg/soss_research/1854
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