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            Reimagining Democracy

            Lessons in Deliberative Democracy from the Irish Front Line

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            Author(s)
            Farrell, David M.
            Suiter, Jane
            Language
            English
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            Abstract
            The Lawrence and Lynne Brown Democracy Medal, presented by the McCourtney Institute for Democracy at Penn State, recognizes outstanding individuals, groups, and organizations that produce innovations to further democracy in the United States or around the world. 2019 Brown Democracy Medal winners David M. Farrell and Jane Suiter are co-leads on the Irish Citizens' Assembly Project, which has transformed Irish politics over the past decade. The project started in 2011 and led to a series of significant policy decisions, including successful referenda on abortion and marriage equality. Thanks to generous funding from The Pennsylvania State University, the ebook editions of this book are available as Open Access (OA) volumes, available from Cornell Open (cornellpress.cornell.edu/cornell-open) and other Open Access repositories.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/198269
            Keywords
            Central / national / federal government policies; Political structures: democracy; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPQ Central / national / federal government::JPQB Central / national / federal government policies; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPH Political structure and processes::JPHV Political structures: democracy
            DOI
            10.7298/hgz7-dj23
            ISBN
            9781501749346, 9781501749322, 9781501749339
            Publisher
            Cornell University Press
            Publisher website
            cornellpress.cornell.edu
            Publication date and place
            Ithaca, 2021
            Imprint
            Cornell Selects
            Series
            Brown Democracy Medal,
            Pages
            72
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            Credits


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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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