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The Public Mapping Project: How Public Participation Can Revolutionize Redistricting - Paperback

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The Public Mapping Project: How Public Participation Can Revolutionize Redistricting - Paperback
The Public Mapping Project: How Public Participation Can Revolutionize Redistricting - Paperback
The Public Mapping Project: How Public Participation Can Revolutionize Redistricting - Paperback
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Product Description

by Michael P. McDonald (Author), Micah Altman (Author)

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.

Author Biography

Micah Altman is Director of Research at the Program on Information Science for the MIT Libraries. He has authored more than seventy articles, a half-dozen open-source software packages, and several books and monographs correcting computational errors in the social sciences. Michael P. McDonald is Associate Professor of Political Science at the University of Florida and a Non-Resident Senior Fellow at the Brookings Institution. He is a coprincipal investigator on the Public Mapping Project. Widely published in scholarly journals and law reviews, he is coauthor with Micah Altman and Jeff Gill of Numerical Issues in Statistical Computing for the Social Scientist.

Number of Pages: 120
Dimensions: 0.25 x 7 x 5 IN
Illustrated: Yes
Publication Date: November 15, 2018
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