{"id":792260,"date":"2021-11-16T08:00:36","date_gmt":"2021-11-16T16:00:36","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=792260"},"modified":"2021-11-17T09:24:41","modified_gmt":"2021-11-17T17:24:41","slug":"demo-enabling-end-to-end-causal-inference-at-scale","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/demo-enabling-end-to-end-causal-inference-at-scale\/","title":{"rendered":"Demo: Enabling end-to-end causal inference at scale"},"content":{"rendered":"<p>This session will present the two popular open-source tools for causal inference, DoWhy and EconML, developed by Microsoft Research. In this demo, researchers Amit Sharma and Eleanor Dillon will describe how the integrated toolkit (DoWhy+EconML) provides an end-to-end API for causal inference, access to state-of-the-art effect estimation algorithms, and methods to evaluate the validity of a causal estimate.<\/p>\n<p>Learn more about the 2021 Microsoft Research Summit: <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/Aka.ms\/researchsummit\">https:\/\/Aka.ms\/researchsummit<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This session will present the two popular open-source tools for causal inference, DoWhy and EconML, developed by Microsoft Research. In this demo, researchers Amit Sharma and Eleanor Dillon will describe how the integrated toolkit (DoWhy+EconML) provides an end-to-end API for causal inference, access to state-of-the-art effect estimation algorithms, and methods to evaluate the validity of [&hellip;]<\/p>\n","protected":false},"featured_media":792263,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[13556],"msr-video-type":[261317,261263],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-792260","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-video-type-causal-machine-learning","msr-video-type-research-summit-2021","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/7z7jUF4Clok","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/792260"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":2,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/792260\/revisions"}],"predecessor-version":[{"id":797011,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/792260\/revisions\/797011"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/792263"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=792260"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=792260"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=792260"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=792260"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=792260"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=792260"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}