{"id":652,"date":"2018-09-21T21:48:34","date_gmt":"2018-09-22T01:48:34","guid":{"rendered":"https:\/\/sites.bu.edu\/pi\/?p=652"},"modified":"2018-11-26T08:51:13","modified_gmt":"2018-11-26T13:51:13","slug":"2018-nsf-bigdata-grant","status":"publish","type":"post","link":"https:\/\/sites.bu.edu\/pi\/2018\/09\/21\/2018-nsf-bigdata-grant\/","title":{"rendered":"Ishwar receives $1M NSF grant"},"content":{"rendered":"<p><span>Profs. Ishwar jointly with Profs. Betke and Wijaya from CS and Prof. Guo from Emerging Media Studies won a $1M grant from the National Science Foundation (NSF)<\/span><span>\u00a0entitled <a href=\"https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=1838193&amp;HistoricalAwards=false\" target=\"_blank\" rel=\"noopener\">\u201cMultiplatform, Multilingual, and Multimodal Tools for Analyzing Public Communication in over 100 Languages\u201d<\/a>. The team will utilize their expertise in Machine Learning, Natural Language Processing, Computer Vision, and Emerging Media Studies, to develop\u00a0analytical tools for social scientists and others to better examine the international flow of public communications.<\/span><\/p>\n<p>See more details in the following news articles:<\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><a href=\"http:\/\/www.bu.edu\/eng\/2018\/10\/24\/analyzing-global-media\/\" target=\"_blank\" rel=\"noopener\">BU ENG News article<\/a><\/li>\n<li><a href=\"http:\/\/www.bu.edu\/cs\/2018\/09\/11\/bu-team-awarded-1000000-nsf-grant-to-analyze-public-communication\/\" target=\"_blank\" rel=\"noopener\">BU CS News article<\/a><\/li>\n<li><a href=\"http:\/\/www.bu.edu\/research\/articles\/nsf-grant-to-address-media-overload\/\" target=\"_blank\" rel=\"noopener\">BU Research news article<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Profs. Ishwar jointly with Profs. Betke and Wijaya from CS and Prof. Guo from Emerging Media Studies won a $1M grant from the National Science Foundation (NSF)\u00a0entitled \u201cMultiplatform, Multilingual, and Multimodal Tools for Analyzing Public Communication in over 100 Languages\u201d. The team will utilize their expertise in Machine Learning, Natural Language Processing, Computer Vision, and [&hellip;]<\/p>\n","protected":false},"author":2606,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/sites.bu.edu\/pi\/wp-json\/wp\/v2\/posts\/652"}],"collection":[{"href":"https:\/\/sites.bu.edu\/pi\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.bu.edu\/pi\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/pi\/wp-json\/wp\/v2\/users\/2606"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/pi\/wp-json\/wp\/v2\/comments?post=652"}],"version-history":[{"count":4,"href":"https:\/\/sites.bu.edu\/pi\/wp-json\/wp\/v2\/posts\/652\/revisions"}],"predecessor-version":[{"id":672,"href":"https:\/\/sites.bu.edu\/pi\/wp-json\/wp\/v2\/posts\/652\/revisions\/672"}],"wp:attachment":[{"href":"https:\/\/sites.bu.edu\/pi\/wp-json\/wp\/v2\/media?parent=652"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.bu.edu\/pi\/wp-json\/wp\/v2\/categories?post=652"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.bu.edu\/pi\/wp-json\/wp\/v2\/tags?post=652"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}