{"id":3863,"date":"2023-04-21T13:08:22","date_gmt":"2023-04-21T17:08:22","guid":{"rendered":"https:\/\/www.stcenter.net\/?page_id=3863"},"modified":"2023-04-21T13:08:46","modified_gmt":"2023-04-21T17:08:46","slug":"the-summer-workshop-on-spatiotemporal-innovation","status":"publish","type":"page","link":"https:\/\/www.stcenter.net\/?page_id=3863","title":{"rendered":"The Summer Workshop on Spatiotemporal Innovation"},"content":{"rendered":"\n<p>Spatial Data Lab&#8217;s sponsored workshop aims to advance spatiotemporal data science with innovative methodology and technology. Attendees will learn about workflow-based tools, functions, and case studies in fields such as public health, business, social media, remote sensing, and environmental science. This workshop will also feature a symposium for participants to present their research and network with fellow professionals. Don&#8217;t miss this chance to enhance your domain knowledge and leadership skills.<\/p>\n\n\n\n<p>Preference will be given to applicants with a background in geographic analysis, and participants will be required to complete a group project and present their findings at the symposium. Completion of the program and group project will earn participants a certificate, and outstanding participants will be invited to join the Spatial Data Lab project.&nbsp;<\/p>\n\n\n\n<p>To apply, submit a CV and a 300-word research project abstract via the provided&nbsp;<a href=\"https:\/\/harvard.az1.qualtrics.com\/jfe\/form\/SV_1BlrXCilP0dJ0ay\">link<\/a>&nbsp;by March 1, 2023. Accepted applicants will receive further information and are responsible for their own travel and lodging expenses. Contact&nbsp;<a href=\"http:\/\/spatialdatalab@lists.fas.harvard.edu\/\">spatialdatalab@lists.fas.harvard.edu<\/a>&nbsp;for questions. Visit&nbsp;<a href=\"https:\/\/projects.iq.harvard.edu\/chinadatalab\/event\/summer-workshop-spatiotemporal-innovation-0\">site<\/a>&nbsp;for more information.&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Spatial Data Lab&#8217;s sponsored workshop aims to advance spatiotemporal data science with innovative methodology and technology. Attendees will learn about workflow-based tools, functions, and case studies in fields such as [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.stcenter.net\/index.php?rest_route=\/wp\/v2\/pages\/3863"}],"collection":[{"href":"https:\/\/www.stcenter.net\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.stcenter.net\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.stcenter.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.stcenter.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3863"}],"version-history":[{"count":1,"href":"https:\/\/www.stcenter.net\/index.php?rest_route=\/wp\/v2\/pages\/3863\/revisions"}],"predecessor-version":[{"id":3864,"href":"https:\/\/www.stcenter.net\/index.php?rest_route=\/wp\/v2\/pages\/3863\/revisions\/3864"}],"wp:attachment":[{"href":"https:\/\/www.stcenter.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3863"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}