{"id":2418,"date":"2019-12-02T10:25:09","date_gmt":"2019-12-02T09:25:09","guid":{"rendered":"https:\/\/datascience.unifi.it\/?post_type=tribe_events&#038;p=2418"},"modified":"2019-12-02T10:32:03","modified_gmt":"2019-12-02T09:32:03","slug":"2418","status":"publish","type":"tribe_events","link":"https:\/\/datascience.unifi.it\/index.php\/event\/2418\/","title":{"rendered":"Lezione aperta DISEI Nobel 2019"},"content":{"rendered":"<h3>Title:\u00a0Lezione aperta DISEI Nobel 2019<\/h3>\n<h3><strong>Speakers:\u00a0Prof. Fabrizia Mealli\u00a0(Director\u00a0of\u00a0the\u00a0Florence\u00a0Center\u00a0for\u00a0Data\u00a0Science, University of Florence) and Prof. Mario Biggeri (University of Florence)<\/strong><\/h3>\n<h3>Location: Building D6 Room 0.18 &#8211; Via delle pandette, 9<\/h3>\n<p>&nbsp;<\/p>\n<h4>DISEI is pleased to present the 2019 DISEI class on the Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel.<\/h4>\n<p><strong>Prof. Fabrizia Mealli<\/strong> and <strong>Prof. Mario Biggeri<\/strong> will present an overview of the main contributions of <strong>Abhijit Banerjee, Esther Duflo<\/strong> and <strong>Michael Kremer<\/strong> who have received the 2019 \u201cNobel\u201d prize in economics for their experimental approach to alleviating global poverty.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Title:\u00a0Lezione aperta DISEI Nobel 2019 Speakers:\u00a0Prof. Fabrizia Mealli\u00a0(Director\u00a0of\u00a0the\u00a0Florence\u00a0Center\u00a0for\u00a0Data\u00a0Science, University of Florence) and Prof. Mario Biggeri (University of Florence) Location: Building D6 Room 0.18 &#8211; Via delle pandette, 9 &nbsp; DISEI &#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_tribe_events_status":"","_tribe_events_status_reason":"","footnotes":""},"tags":[],"tribe_events_cat":[],"class_list":["post-2418","tribe_events","type-tribe_events","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/tribe_events\/2418","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/tribe_events"}],"about":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/types\/tribe_events"}],"author":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":5,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/tribe_events\/2418\/revisions"}],"predecessor-version":[{"id":2425,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/tribe_events\/2418\/revisions\/2425"}],"wp:attachment":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/media?parent=2418"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/tags?post=2418"},{"taxonomy":"tribe_events_cat","embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/tribe_events_cat?post=2418"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}