{"id":1883,"date":"2019-07-16T16:42:21","date_gmt":"2019-07-16T14:42:21","guid":{"rendered":"https:\/\/datascience.unifi.it\/?p=1883"},"modified":"2025-11-27T17:13:02","modified_gmt":"2025-11-27T16:13:02","slug":"launching-of-harvard-data-science-review","status":"publish","type":"post","link":"https:\/\/datascience.unifi.it\/index.php\/2019\/07\/16\/launching-of-harvard-data-science-review\/","title":{"rendered":"Launching of Harvard Data Science Review"},"content":{"rendered":"<p>On July 2, 2019, <strong><a href=\"http:\/\/hdsr.mitpress.mit.edu\">Harvard Data Science Review<\/a><\/strong> launched its first and digital version, which can be viewed <a href=\"http:\/\/hdsr.mitpress.mit.edu\">here<\/a><\/p>\n<p>&nbsp;<\/p>\n<p>Just as a sample, the first issue of the open access digital edition features an editorial by Alan Garber, Harvard Provost, on the essential knowledge of data science for educated citizens; a trio of articles on perspectives of data and data science from three scholars respectively from social science, humanities and science; an industry perspective on the importance of balancing prediction and inference for business decision making; a trio of articles on the nature and history of artificial intelligence and its roles in society;\u00a0 an interview with the co-chairs of a National Academies of Science report on undergraduate education in data science, as well as more technical articles such as authorship attribution of Lennon-McCartney songs (check out the interactive musical features!). The &#8220;From the Editor-in-Chief&#8221; piece by Xiao-Li Meng, the inaugural editor of HDSR, provides a brief summary of both the missions of HDSR and the 14 articles in the first issue.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>On July 2, 2019, Harvard Data Science Review launched its first and digital version, which can be viewed here &nbsp; Just as a sample, the first issue of the open &#8230;<\/p>\n","protected":false},"author":4,"featured_media":1887,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[78],"tags":[],"class_list":["post-1883","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research"],"_links":{"self":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/posts\/1883","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/comments?post=1883"}],"version-history":[{"count":2,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/posts\/1883\/revisions"}],"predecessor-version":[{"id":1886,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/posts\/1883\/revisions\/1886"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/media\/1887"}],"wp:attachment":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/media?parent=1883"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/categories?post=1883"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/tags?post=1883"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}