{"id":540,"date":"2024-07-22T14:33:17","date_gmt":"2024-07-22T19:33:17","guid":{"rendered":"https:\/\/ozer.gt\/log\/?p=540"},"modified":"2024-07-23T12:54:19","modified_gmt":"2024-07-23T17:54:19","slug":"podcast-episode-3-matching-and-causal-inference","status":"publish","type":"post","link":"https:\/\/ozer.gt\/log\/2024\/07\/22\/podcast-episode-3-matching-and-causal-inference\/","title":{"rendered":"Podcast Episode 3: Matching and Causal Inference"},"content":{"rendered":"<p>We just released another belated episode of our Data Spanners podcast (with Courtney Paulson). In this episode, we host the inimitable <a id=\"ember522\" class=\"ember-view\" href=\"https:\/\/www.linkedin.com\/in\/seanjtaylor\/\">Sean Taylor<\/a> and talk about matching (and re-matching), causal inference, and challenges in modeling different types of data (including &#8220;sequence data&#8221;). It&#8217;s an episode we had a lot of fun recording, and I bet you&#8217;ll enjoy listening to it (Spotify only).<\/p>\n<p>We touch on big data, optimization, continued value of theory, System 1 and 2 loops, and modeling decisions in high stakes vs. low stakes problems. We also tackle tough questions like &#8220;What are the most important inputs to modeling data?&#8221; Data itself, creativity, domain expertise, or algorithms? I think we even mention AI at some point (pretty sure Sean brings it up!).<\/p>\n<p>On a related note, but unrelated to the people involved in the making of this podcast episode, I&#8217;ll be posting some updates soon on our concept-in-progress &#8220;data centricity&#8221; and how assumptions play a critical but underappreciated role in modeling data and making models work. Stay tuned.<\/p>\n<p><a href=\"https:\/\/open.spotify.com\/episode\/4P2BlHS4JS3IwiMlxJljed\">Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We just released another belated episode of our Data Spanners podcast (with Courtney Paulson). In this episode, we host the inimitable Sean Taylor and talk about matching (and re-matching), causal inference, and challenges in modeling different types of data (including &#8220;sequence data&#8221;). It&#8217;s an episode we had a lot of fun recording, and I bet [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"cybocfi_hide_featured_image":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-540","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/posts\/540","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/comments?post=540"}],"version-history":[{"count":1,"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/posts\/540\/revisions"}],"predecessor-version":[{"id":541,"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/posts\/540\/revisions\/541"}],"wp:attachment":[{"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/media?parent=540"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/categories?post=540"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/tags?post=540"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}