{"id":1128,"date":"2019-12-05T10:52:25","date_gmt":"2019-12-05T10:52:25","guid":{"rendered":"http:\/\/egsnews.eurogeosurveys.org\/?p=1128"},"modified":"2019-12-05T10:52:26","modified_gmt":"2019-12-05T10:52:26","slug":"international-conference-on-big-data-and-machine-learning-in-geosciences","status":"publish","type":"post","link":"http:\/\/egsnews.eurogeosurveys.org\/?p=1128","title":{"rendered":"International Conference on Big data and machine learning in geosciences"},"content":{"rendered":"\n<p>On February 20-21, 2020 the Federal Institute\nfor Geosciences and Natural Resources (BGR) is hosting the inaugural international\nconference <strong>Big data and machine learning in geosciences<\/strong> in Berlin, with\nkind support of the German Federal Ministry of Economic Affairs and Energy\n(BMWi).<\/p>\n\n\n\n<p>The conference will highlight these\nissues by giving a platform for outstanding experts in the field of big data\nand machine learning. Contributions from academia, governmental organizations\nand industry are highly appreciated. February 20will address big data\nand AI applications in a global perspective with keynotes from selected issues.\nInvited talks introduce the current state and describe future tracks of machine\nlearning (ML) technologies for geospatial applications. The experts join for a\nmoderated plenary discussion on \u201cHow AI is changing the game\u201d. February 21will\nfocus on specific applications of ML in geosciences with invited talks on\nmineral and petroleum exploration, groundwater and soil science, Earth data\nmining and geohazard assessment. The experts join for a moderated plenary\ndiscussion on \u201cChallenges and opportunities in geosciences\u201d.<\/p>\n\n\n\n<p>The main aim of the conference is to discuss\nchallenges and opportunities in managing big data and natural resources in the\nlight of global climate change and energy transition with experts, scientists,\ngovernmental organizations and industry.<\/p>\n\n\n\n<p>Detailed information is provided by the\nattached circular as well as by <a href=\"https:\/\/www.bgr.bund.de\/EN\/Themen\/Geodatenmanagement\/Big_data_ML_conf\/big_data_ML_conf_node_en.html\">BGR\u00b4s\nwebsite<\/a>. <\/p>\n\n\n\n<p>Please click the link for more details about\nthe conference and the online registration: <a href=\"https:\/\/www.bgr.bund.de\/big_data&amp;ML\">https:\/\/www.bgr.bund.de\/big_data&amp;ML<\/a>.\n<strong>The participation to the conference is free of charge.<\/strong><\/p>\n\n\n\n<p>Download the leaflet with the full description of the conference <a href=\"http:\/\/www.eurogeosurveys.org\/wp-content\/uploads\/2019\/12\/BigDataML_Berlin_Circular.pdf\">here<\/a>. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>On February 20-21, 2020 the Federal Institute for Geosciences and Natural Resources (BGR) is hosting the inaugural international conference Big data and machine learning in geosciences in Berlin, with kind support of the German Federal Ministry of Economic Affairs and Energy (BMWi). The conference will highlight these issues by giving a platform for outstanding experts [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":1132,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"post_mailing_queue_ids":[],"_links":{"self":[{"href":"http:\/\/egsnews.eurogeosurveys.org\/index.php?rest_route=\/wp\/v2\/posts\/1128"}],"collection":[{"href":"http:\/\/egsnews.eurogeosurveys.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/egsnews.eurogeosurveys.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/egsnews.eurogeosurveys.org\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"http:\/\/egsnews.eurogeosurveys.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1128"}],"version-history":[{"count":1,"href":"http:\/\/egsnews.eurogeosurveys.org\/index.php?rest_route=\/wp\/v2\/posts\/1128\/revisions"}],"predecessor-version":[{"id":1129,"href":"http:\/\/egsnews.eurogeosurveys.org\/index.php?rest_route=\/wp\/v2\/posts\/1128\/revisions\/1129"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/egsnews.eurogeosurveys.org\/index.php?rest_route=\/wp\/v2\/media\/1132"}],"wp:attachment":[{"href":"http:\/\/egsnews.eurogeosurveys.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1128"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/egsnews.eurogeosurveys.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1128"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/egsnews.eurogeosurveys.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1128"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}