{"id":12071,"date":"2026-09-03T09:12:23","date_gmt":"2026-09-03T00:12:23","guid":{"rendered":"https:\/\/www.waseda.jp\/fpse\/winpec\/?p=12071"},"modified":"2026-09-03T09:15:40","modified_gmt":"2026-09-03T00:15:40","slug":"%ef%bc%91%ef%bc%92%e6%9c%88%ef%bc%92%ef%bc%90%e6%97%a5%e7%8f%be%e6%94%bf%e7%a0%94%e3%82%bb%e3%83%9f%e3%83%8a%e3%83%bc%ef%bc%88%e5%a0%80%e4%ba%95%e4%ba%ae%e5%85%88%e7%94%9f%ef%bc%89%e3%81%ae-12-2-2-131","status":"publish","type":"post","link":"https:\/\/www.waseda.jp\/fpse\/winpec\/other-en\/2026\/09\/03\/12071\/","title":{"rendered":"\u201c\u00a0Scaling Reproducibility: An AI-Assisted Workflow for Large-Scale Replication and Reanalysis\u201d by Prof. Yiqing Xu (Stanford University), September 18, 15:30-"},"content":{"rendered":"<p>Dear Colleagues,<\/p>\n<p>The Political Methodology Research Group at the Waseda Institute of Political Economy (WINPEC) is pleased to announce an upcoming Political Methodology Workshop featuring Professor Yiqing Xu from Stanford University.<\/p>\n<p><strong>Title:\u00a0<\/strong>Scaling Reproducibility: An AI-Assisted Workflow for Large-Scale Replication and Reanalysis<\/p>\n<p><strong>Abstract:\u00a0<\/strong>Computational reproducibility is central to scientific credibility, yet verifying published results at scale remains costly. We develop an AI-assisted workflow for automated fullpaper replication\u2014retrieving materials, reconstructing environments, executing code, and matching outputs to point estimates reported in regression tables. We define a universe of all empirical and quantitative papers from the three top political science journals (2010\u20132025) and measure stated data availability using automated extraction. For a stratified sample of 384 studies, we apply the workflow to conduct full-paper replication, totaling 3,523 empirical models. We find that journal verification requirements, combined with data archiving mandates, drive reproducibility: the share of fully or largely reproducible papers rises from 20.8% before DA-RT adoption to 82.5% after, and conditional on accessible replication packages, 92.1% of papers are fully or largely reproducible (234\/254). As a secondary application, we apply standardized IV diagnostics to 84 studies (597 IV specifications among 1,910 replicated models), illustrating how automated execution enables systematic reanalysis across heterogeneous empirical settings.<\/p>\n<p><strong>Link to Paper:\u3000<\/strong><a title=\"https:\/\/arxiv.org\/pdf\/2602.16733\" href=\"https:\/\/arxiv.org\/pdf\/2602.16733\" data-auth=\"NotApplicable\" data-linkindex=\"0\">https:\/\/arxiv.org\/pdf\/2602.16733<\/a><\/p>\n<p><strong>Link to the Companion Software Website:<\/strong>\u3000<a title=\"https:\/\/reproai.org\/\" href=\"https:\/\/reproai.org\/\" data-auth=\"NotApplicable\" data-linkindex=\"1\">https:\/\/reproai.org\/<\/a><\/p>\n<p><strong>Speaker:\u00a0<\/strong>Prof. Yiqing Xu (Stanford University)<\/p>\n<p><strong>Date:<\/strong>\u00a0Friday, September 18, 2026<\/p>\n<p><strong>Time:\u00a0<\/strong>15:30\u201317:00<\/p>\n<p><strong>Venue:<\/strong>\u00a0Waseda Campus, Building 3, Room 601<\/p>\n<p><strong>Format:<\/strong>\u00a0In Person<\/p>\n<p><strong>Language:\u00a0<\/strong>English<\/p>\n<p><strong>Registration Link: <\/strong><a class=\"ms-outlook-linkify\" title=\"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSdnHa6gn1eu51F9oHIDSy0NyIGEN3hrVGMBvRijxDAkxYTVTg\/viewform?usp=publish-editor\" href=\"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSdnHa6gn1eu51F9oHIDSy0NyIGEN3hrVGMBvRijxDAkxYTVTg\/viewform?usp=publish-editor\" target=\"_blank\" rel=\"noopener\" data-linkindex=\"2\">https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSdnHa6gn1eu51F9oHIDSy0NyIGEN3hrVGMBvRijxDAkxYTVTg\/viewform?usp=publish-editor<\/a><\/p>\n<p>Please note that registration is required to attend this in-person workshop. Please register from the link above.<br \/>\nFor any inquiries, please contact tyamam@waseda.jp.Best,<\/p>\n<p>Teppei<\/p>\n<p>&nbsp;<\/p>\n<p>\u307f\u306a\u3055\u307e\u3001<\/p>\n<p>\u65e9\u7a32\u7530\u5927\u5b66\u73fe\u4ee3\u653f\u6cbb\u7d4c\u6e08\u7814\u7a76\u6240\uff08WINPEC\uff09\u306e\u653f\u6cbb\u5b66\u65b9\u6cd5\u8ad6\u7814\u7a76\u90e8\u4f1a\u306f\u3001\u30b9\u30bf\u30f3\u30d5\u30a9\u30fc\u30c9\u5927\u5b66\u306eYiqing Xu\u6559\u6388\u3092\u304a\u62db\u304d\u3057\u3001\u653f\u6cbb\u5b66\u65b9\u6cd5\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\u3092\u958b\u50ac\u3044\u305f\u3057\u307e\u3059\u3002<\/p>\n<p><strong>\u30bf\u30a4\u30c8\u30eb:\u3000<\/strong>Scaling Reproducibility: An AI-Assisted Workflow for Large-Scale Replication and Reanalysis<\/p>\n<p><strong>\u8981\u65e8:<\/strong>\u4e0a\u8a18\u3092\u53c2\u7167\u304f\u3060\u3055\u3044<\/p>\n<p><strong>\u8ad6\u6587\u30ea\u30f3\u30af:<\/strong>\u00a0<a class=\"x_ng-star-inserted\" title=\"https:\/\/arxiv.org\/pdf\/2602.16733\" href=\"https:\/\/arxiv.org\/pdf\/2602.16733\" data-auth=\"NotApplicable\" data-hveid=\"0\" data-ved=\"0CAAQ_4QMahgKEwiLwIS-8c-WAxUAAAAAHQAAAAAQzQQ\" data-linkindex=\"3\">https:\/\/arxiv.org\/pdf\/2602.16733<\/a><\/p>\n<p><strong>\u95a2\u9023\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u30a6\u30a7\u30d6\u30b5\u30a4\u30c8:<\/strong>\u00a0<a class=\"x_ng-star-inserted\" title=\"https:\/\/reproai.org\/\" href=\"https:\/\/reproai.org\/\" data-auth=\"NotApplicable\" data-hveid=\"0\" data-ved=\"0CAAQ_4QMahgKEwiLwIS-8c-WAxUAAAAAHQAAAAAQzgQ\" data-linkindex=\"4\">https:\/\/reproai.org\/<\/a><\/p>\n<p><strong>\u8b1b\u6f14\u8005:<\/strong>\u00a0Prof. Yiqing Xu\uff08\u30b9\u30bf\u30f3\u30d5\u30a9\u30fc\u30c9\u5927\u5b66\uff09<\/p>\n<p><strong>\u65e5\u6642:<\/strong>\u00a02026\u5e749\u670818\u65e5\uff08\u91d1\uff09<\/p>\n<p><strong>\u6642\u9593:<\/strong>\u00a015:30\u201317:00<\/p>\n<p><strong>\u4f1a\u5834:\u00a0<\/strong>\u65e9\u7a32\u7530\u30ad\u30e3\u30f3\u30d1\u30b9 3\u53f7\u9928 601\u6559\u5ba4<\/p>\n<p><strong>\u4f7f\u7528\u8a00\u8a9e:\u00a0<\/strong>\u82f1\u8a9e<\/p>\n<p><strong>\u767b\u9332URL:<\/strong><b><br \/>\n<\/b><a href=\"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSdnHa6gn1eu51F9oHIDSy0NyIGEN3hrVGMBvRijxDAkxYTVTg\/viewform?usp=publish-editor\">https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSdnHa6gn1eu51F9oHIDSy0NyIGEN3hrVGMBvRijxDAkxYTVTg\/viewform?usp=publish-editor<\/a><\/p>\n<p>\u672c\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\u306f\u5bfe\u9762\u3067\u306e\u958b\u50ac\u3068\u306a\u308a\u3001\u53c2\u52a0\u306b\u306f\u4e8b\u524d\u767b\u9332\u304c\u5fc5\u8981\u3067\u3059\u3002\u4e0a\u8a18\u30ea\u30f3\u30af\u304b\u3089\u767b\u9332\u304f\u3060\u3055\u3044\u3002<br \/>\n\u304a\u554f\u3044\u5408\u308f\u305b\u306b\u3064\u304d\u307e\u3057\u3066\u306f\u3001tyamam@waseda.jp \u307e\u3067\u3054\u9023\u7d61\u304f\u3060\u3055\u3044\u3002<\/p>\n<p>\u5c71\u672c\u9244\u5e73<\/p>\n<p><a href=\"https:\/\/www.waseda.jp\/fpse\/winpec\/assets\/uploads\/2026\/09\/WASEDA-INSTITUTE-OF-POLITICAL-ECONOMY-WINPEC-2.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-12074\" src=\"https:\/\/www.waseda.jp\/fpse\/winpec\/assets\/uploads\/2026\/09\/WASEDA-INSTITUTE-OF-POLITICAL-ECONOMY-WINPEC-2-610x863.png\" alt=\"\" width=\"610\" height=\"863\" srcset=\"https:\/\/www.waseda.jp\/fpse\/winpec\/assets\/uploads\/2026\/09\/WASEDA-INSTITUTE-OF-POLITICAL-ECONOMY-WINPEC-2-610x863.png 610w, https:\/\/www.waseda.jp\/fpse\/winpec\/assets\/uploads\/2026\/09\/WASEDA-INSTITUTE-OF-POLITICAL-ECONOMY-WINPEC-2-940x1330.png 940w, https:\/\/www.waseda.jp\/fpse\/winpec\/assets\/uploads\/2026\/09\/WASEDA-INSTITUTE-OF-POLITICAL-ECONOMY-WINPEC-2-768x1086.png 768w, https:\/\/www.waseda.jp\/fpse\/winpec\/assets\/uploads\/2026\/09\/WASEDA-INSTITUTE-OF-POLITICAL-ECONOMY-WINPEC-2-1086x1536.png 1086w, https:\/\/www.waseda.jp\/fpse\/winpec\/assets\/uploads\/2026\/09\/WASEDA-INSTITUTE-OF-POLITICAL-ECONOMY-WINPEC-2.png 1414w\" sizes=\"auto, (max-width: 610px) 100vw, 610px\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dear Colleagues, The Political Methodology Research Group at the Waseda Institute of Political Economy (WINPEC [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":12074,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[104,105],"tags":[99,102,18,101],"class_list":["post-12071","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-other-en","category-other","tag-events-en","tag-general-en","tag-events","tag-general"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/posts\/12071","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/comments?post=12071"}],"version-history":[{"count":2,"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/posts\/12071\/revisions"}],"predecessor-version":[{"id":12085,"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/posts\/12071\/revisions\/12085"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/media\/12074"}],"wp:attachment":[{"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/media?parent=12071"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/categories?post=12071"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.waseda.jp\/fpse\/winpec\/wp-json\/wp\/v2\/tags?post=12071"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}