{"id":7472,"date":"2018-03-01T10:03:09","date_gmt":"2018-03-01T15:03:09","guid":{"rendered":"https:\/\/michigan.it.umich.edu\/news\/?p=7472"},"modified":"2024-07-08T06:06:02","modified_gmt":"2024-07-08T10:06:02","slug":"data-vs-gerrymandering","status":"publish","type":"post","link":"https:\/\/michigan.it.umich.edu\/news\/2018\/03\/01\/data-vs-gerrymandering\/","title":{"rendered":"Data vs. gerrymandering"},"content":{"rendered":"<div id=\"attachment_7481\" style=\"width: 610px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-7481\" class=\"size-full wp-image-7481\" src=\"https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/03\/Gerrymandering-InLine-Graph2-e1520434829628.jpg\" alt=\"cluster graph showing existing district map as extreme outlier\" width=\"600\" height=\"450\" \/><p id=\"caption-attachment-7481\" class=\"wp-caption-text\">(Jowei Chen)<\/p><\/div>\n<p>Pennsylvania&#8217;s congressional map was among the most gerrymandered in history. Experts like LSA political science professor <strong>Jowei Chen<\/strong> used data analyis and computer modeling to help change that situation.\u00a0Chen&#8217;s computer programs create alternative maps based on a series of geographic constraints: maps that are compact in shape, preserve county and municipal boundaries, and have equal populations. They\u2019re drawn, says Chen, to be \u201cgeographically normal.\u201d Chen generated 500 such maps for Pennsylvania, and analyzed each of them based on how many seats they would yield for each political party.\u00a0He compared those figures to the disputed map, and presented the results to the court.\u00a0In February, the Pennsylvania Supreme Court\u00a0issued\u00a0a brand new congressional map to replace the one <a href=\"https:\/\/www.wired.com\/story\/pennsylvania-partisan-gerrymandering-experts\/#comments\">Chen and other experts testified about<\/a>. Chen\u00a0has provided expert testimony in a litany of redistricting cases, including in North Carolina, where judges relied heavily on his testimony in\u00a0their decision\u00a0to overturn the existing map.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Pennsylvania&#8217;s congressional map was among the most gerrymandered in history. Experts like LSA political science professor Jowei Chen used data analyis and computer modeling to help change that situation.\u00a0Chen&#8217;s computer programs create alternative maps based on a series of geographic constraints: maps that are compact in shape, preserve county and municipal boundaries, and have equal populations. They\u2019re drawn,\u2026 <span class=\"read-more\"><a href=\"https:\/\/michigan.it.umich.edu\/news\/2018\/03\/01\/data-vs-gerrymandering\/\">Read More &raquo;<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":7481,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","_umich_oidc_access":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_ef_editorial_meta_date_first-draft-date":"","_ef_editorial_meta_paragraph_assignment":"","_ef_editorial_meta_checkbox_needs-photo":"","_ef_editorial_meta_number_word-count":"","footnotes":""},"categories":[5],"tags":[131,43,202],"class_list":["post-7472","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-campus-news","tag-analytics","tag-data","tag-election"],"uagb_featured_image_src":{"full":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/03\/Gerrymandering-InLine-Graph2-e1520434829628.jpg",600,450,false],"thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/03\/Gerrymandering-InLine-Graph2-125x94.jpg",125,94,true],"medium":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/03\/Gerrymandering-InLine-Graph2-267x200.jpg",267,200,true],"medium_large":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/03\/Gerrymandering-InLine-Graph2-e1520434829628.jpg",600,450,false],"large":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/03\/Gerrymandering-InLine-Graph2-700x525.jpg",600,450,true],"1536x1536":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/03\/Gerrymandering-InLine-Graph2-e1520434829628.jpg",600,450,false],"2048x2048":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/03\/Gerrymandering-InLine-Graph2-e1520434829628.jpg",600,450,false],"excerpt-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/03\/Gerrymandering-InLine-Graph2-200x140.jpg",200,140,true],"themonic-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/03\/Gerrymandering-InLine-Graph2-60x42.jpg",60,42,true],"ioslider-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/03\/Gerrymandering-InLine-Graph2-658x300.jpg",658,300,true],"post-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/03\/Gerrymandering-InLine-Graph2-665x499.jpg",665,499,true],"400x250-crop":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2018\/03\/Gerrymandering-InLine-Graph2-e1520434829628.jpg",333,250,false]},"uagb_author_info":{"display_name":"News Staff","author_link":"https:\/\/michigan.it.umich.edu\/news\/author\/mitnewsadm\/"},"uagb_comment_info":0,"uagb_excerpt":"Pennsylvania&#8217;s congressional map was among the most gerrymandered in history. Experts like LSA political science professor Jowei Chen used data analyis and computer modeling to help change that situation.\u00a0Chen&#8217;s computer programs create alternative maps based on a series of geographic constraints: maps that are compact in shape, preserve county and municipal boundaries, and have equal&hellip;","_links":{"self":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/7472","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/comments?post=7472"}],"version-history":[{"count":6,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/7472\/revisions"}],"predecessor-version":[{"id":7482,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/7472\/revisions\/7482"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/media\/7481"}],"wp:attachment":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/media?parent=7472"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/categories?post=7472"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/tags?post=7472"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}