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Fusing Open Public Data, Prosperity Indexes, Fuzzy Cognitive Maps and Argumentation Technology for more factual, evidence-based and accountable policy analysis and evaluation
Ourania Markaki, Panagiotis Kokkinakos, Sotirios Koussouris, John Psarras, Yuri Glickman, Habin Lee
This paper introduces a novel and innovative approach for more factual, evidence-based and accountable policy analysis and evaluation, based on the pillars of open public data, prosperity indicators, fuzzy cognitive maps, argumentation technology, deliberation platforms and social media. The approach assumes making better use of Europe's open public data resources and aspires to enable both the lay public as well as domain experts to create, apply, annotate, share and discuss progress metrics and causal models of policies, with the view to support them in assessing the governments' course of actions, and enhance thereby the transparency and effectiveness of the policy analysis and monitoring phases of the policy cycle.
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