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            The Public Mapping Project

            How Public Participation Can Revolutionize Redistricting

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            Author(s)
            McDonald, Michael P.
            Altman, Micah
            Language
            English
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            Abstract
            The Laurence and Lynne Brown Democracy Medal is an initiative of the McCourtney Institute for Democracy at Pennsylvania State University. It annually recognizes outstanding individuals, groups, and organizations that produce exceptional innovations to further democracy in the United States or around the world. Micah Altman and Michael P. McDonald unveil the Public Mapping Project, which developed DistrictBuilder, an open-source software redistricting application designed to give the public transparent, accessible, and easy-to-use online mapping tools. As they show, the goal is for all citizens to have access to the same information that legislators use when drawing congressional maps—and use that data to create maps of their own. Thanks to generous funding from The Pennsylvania State University, the ebook editions of this book are available as Open Access volumes from Cornell Open (cornellpress.cornell.edu/cornell-open) and other repositories.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/165615
            Keywords
            Elections and referenda; Political structures: democracy; Human geography; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPH Political structure and processes::JPHF Elections and referenda / suffrage
            DOI
            10.7298/chf9-nc74
            ISBN
            9781501738555, 9781501738548, 9781501738562
            Publisher
            Cornell University Press
            Publisher website
            cornellpress.cornell.edu
            Publication date and place
            Ithaca, 2018
            Imprint
            Cornell Selects
            Series
            Brown Democracy Medal,
            Pages
            120
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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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