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Citizen participation in decision-making: can one make a difference?

Authors: Ciara Fitzgerald; Stephen McCarthy; Fergal Carton; Yvonne O'Connor; Laura Lynch; Frédéric Adam;

Citizen participation in decision-making: can one make a difference?

Abstract

Big Data promises benefits for society as well as business. Do policy makers know how best to use this scale of data driven decisionmaking in an effective way for citizens? Citizen participation is portrayed in literature as a key component in policy decisionmaking. Yet, this decision-making process to date is often driven by other stakeholders such as scientific experts, academic institutions, national and international governing bodies, to name but a few. Furthermore, there is scant literature on the best way to create policy for new technology, taking into consideration the voice of the citizen. The prevailing question, therefore, is what extent does citizen participation in decision-making make a difference to shaping policy for technology? Our paper explores an experimental method for citizens to make a difference to European policy decision-making on the future of technology and the impact on society. Employing a case study of Irish citizens as part of the CIMULACT (Citizen and Multi- Actor Consultation on Horizon 2020) project this paper reports a new methodology for gathering citizens’ perspectives on future decisionmaking policies on technology. The findings reveal key advantages and disadvantages to this methodology. This paper makes a number of contributions to both the academic and practitioner communities.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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