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      Extending Handivote to Handle Digital Economic Decisions

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      ACM-BCS Visions of Computer Science 2010 (VOCS)

      ACM-BCS Visions of Computer Science 2010

      14 - 16 April 2010

      Handivote, Electronic Voting, Digital Economy

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            Abstract

            There is a growing realisation that the populace need to be consulted on a more regular basis about issues that concern them. We address a particular economic problem, that of national budgeting, and show how digital technology can be applied in an understandable way in this domain. The current situation is that governments are reluctant to conduct plebiscites due to the expenses inherent in the traditional voting model. Handivote is a system which allows maximal participation, using a ubiquitous input mechanism, the mobile phone, to support decision-making. In this paper we show how the Handivote system could be extended to invite voter input into national economic decisions. Our proposal includes an algorithm which maximises voter satisfaction in the presence of budgetary constraints, and the preferences revealed by the vote.

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            Author and article information

            Contributors
            Conference
            April 2010
            April 2010
            : 1-7
            Affiliations
            [0001]Department of Computing Science

            University of Glasgow
            Article
            10.14236/ewic/VOCS2010.5
            8b4ea223-e9d9-428f-a984-b2628752ac32
            © Paul Cockshott et al. Published by BCS Learning and Development Ltd. ACM-BCS Visions of Computer Science 2010, The University of Edinburgh

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            ACM-BCS Visions of Computer Science 2010
            VOCS
            The University of Edinburgh
            14 - 16 April 2010
            Electronic Workshops in Computing (eWiC)
            ACM-BCS Visions of Computer Science 2010
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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