{"id":361,"date":"2016-02-11T11:36:49","date_gmt":"2016-02-11T16:36:49","guid":{"rendered":"https:\/\/researchbdev.wpengine.com\/digital-computational-studies\/?p=361"},"modified":"2016-02-11T11:36:49","modified_gmt":"2016-02-11T16:36:49","slug":"dcsi-event-on-campus-big-data-insights-for-political-campaigns-and-elections","status":"publish","type":"post","link":"https:\/\/research.bowdoin.edu\/digital-computational-studies\/digital-computational-studies\/dcsi-event-on-campus-big-data-insights-for-political-campaigns-and-elections\/","title":{"rendered":"DCSI Event on Campus: &#8220;Big Data Insights for Political Campaigns and Elections&#8221;"},"content":{"rendered":"<p>Next week, James Gimpel, professor of government at the University of Maryland, College Park, will discuss his research into big data, political campaigns, and voter attitudes.<\/p>\n<p><strong>&#8220;Big Data Insights for Political Campaigns and Elections&#8221;<br \/>\n<\/strong><\/p>\n<p><strong> Monday, February 15th | 7 p.m.<\/strong><br \/>\n<strong> Location: Beam Classroom, VAC<\/strong><br \/>\nOpen to the public<br \/>\nSponsored by the Bowdoin Departments of Government and Digital and Computational Studies<\/p>\n<p>Political campaigns are now using big data to get information on voters&#8217; attitudes and behaviors. Big data can be used to microtarget voters before elections and help campaign fundraising as well as influence other areas of elections. Professor Gimpel&#8217;s research focuses on\u00a0political behavior, campaigns and elections, public opinion and immigration politics and policy. Interested students can also have dinner with Professor Gimpel at 5:30 in Thorne before the lecture.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Next week, James Gimpel, professor of government at the University of Maryland, College Park, will discuss his research into big data, political campaigns, and voter attitudes. &#8220;Big Data Insights for Political Campaigns and Elections&#8221; Monday, February 15th | 7 p.m. Location: Beam Classroom, VAC Open to the public Sponsored by the Bowdoin Departments of Government [&hellip;]<\/p>\n","protected":false},"author":88,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-361","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-digital-computational-studies","7":"entry"},"_links":{"self":[{"href":"https:\/\/research.bowdoin.edu\/digital-computational-studies\/wp-json\/wp\/v2\/posts\/361","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.bowdoin.edu\/digital-computational-studies\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/research.bowdoin.edu\/digital-computational-studies\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/research.bowdoin.edu\/digital-computational-studies\/wp-json\/wp\/v2\/users\/88"}],"replies":[{"embeddable":true,"href":"https:\/\/research.bowdoin.edu\/digital-computational-studies\/wp-json\/wp\/v2\/comments?post=361"}],"version-history":[{"count":0,"href":"https:\/\/research.bowdoin.edu\/digital-computational-studies\/wp-json\/wp\/v2\/posts\/361\/revisions"}],"wp:attachment":[{"href":"https:\/\/research.bowdoin.edu\/digital-computational-studies\/wp-json\/wp\/v2\/media?parent=361"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/research.bowdoin.edu\/digital-computational-studies\/wp-json\/wp\/v2\/categories?post=361"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/research.bowdoin.edu\/digital-computational-studies\/wp-json\/wp\/v2\/tags?post=361"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}