Citizen engagement with information aggregation markets

Bothos, E; Apostolou, D; Mentzas, G

dc.contributor.author	Bothos, E	en
dc.contributor.author	Apostolou, D	en
dc.contributor.author	Mentzas, G	en
dc.date.accessioned	2014-03-01T02:52:55Z
dc.date.available	2014-03-01T02:52:55Z
dc.date.issued	2011	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36153
dc.subject	citizen engagement	en
dc.subject	Information aggregation markets	en
dc.subject	public participation	en
dc.subject.other	citizen engagement	en
dc.subject.other	Decision makers	en
dc.subject.other	Decision making process	en
dc.subject.other	Empirical evidence	en
dc.subject.other	Information aggregation	en
dc.subject.other	Policy issues	en
dc.subject.other	Public institution	en
dc.subject.other	Public organizations	en
dc.subject.other	Public participation	en
dc.subject.other	Public policy decisions	en
dc.subject.other	Decision making	en
dc.subject.other	Feedback	en
dc.subject.other	Public policy	en
dc.subject.other	Societies and institutions	en
dc.subject.other	Commerce	en
dc.title	Citizen engagement with information aggregation markets	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-23333-3_24	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-23333-3_24	en
heal.publicationDate	2011	en
heal.abstract	Participatory governance entails converting citizens from passive users of administrative decisions into active participants of political procedures. Public institutions and organizations can benefit from methods and tools able to aggregate and interpret information dispersed among citizens. In this paper we explore the use of Information Aggregation Markets (IAMs) for citizen engagement. We identify the benefits of IAMs and explain how markets can be used to aggregate citizens' opinions and views on policy issues. Furthermore we report on two real life cases where we deployed IAMs to assist the decision making processes of public organizations. The positive feedback from participants and decision makers provides empirical evidence on the benefits of IAMs as a method for engaging citizens in public policy decision making. © 2011 IFIP International Federation for Information Processing.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-642-23333-3_24	en
dc.identifier.volume	6847 LNCS	en
dc.identifier.spage	274	en
dc.identifier.epage	285	en