“ Scaling Reproducibility: An AI-Assisted Workflow for Large-Scale Replication and Reanalysis” by Prof. Yiqing Xu (Stanford University), September 18, 15:30-

Dear Colleagues,

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.

Title: Scaling Reproducibility: An AI-Assisted Workflow for Large-Scale Replication and Reanalysis

Abstract: 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—retrieving 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 (2010–2025) 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.

Link to Paper:　https://arxiv.org/pdf/2602.16733

Link to the Companion Software Website:　https://reproai.org/

Speaker: Prof. Yiqing Xu (Stanford University)

Date: Friday, September 18, 2026

Time: 15:30–17:00

Venue: Waseda Campus, Building 3, Room 601

Format: In Person

Language: English

Registration Link: https://docs.google.com/forms/d/e/1FAIpQLSdnHa6gn1eu51F9oHIDSy0NyIGEN3hrVGMBvRijxDAkxYTVTg/viewform?usp=publish-editor

Please note that registration is required to attend this in-person workshop. Please register from the link above.
For any inquiries, please contact [email protected],

Teppei

 

みなさま、

早稲田大学現代政治経済研究所（WINPEC）の政治学方法論研究部会は、スタンフォード大学のYiqing Xu教授をお招きし、政治学方法論ワークショップを開催いたします。

タイトル:　Scaling Reproducibility: An AI-Assisted Workflow for Large-Scale Replication and Reanalysis

要旨:上記を参照ください

論文リンク: https://arxiv.org/pdf/2602.16733

関連ソフトウェアウェブサイト: https://reproai.org/

講演者: Prof. Yiqing Xu（スタンフォード大学）

日時: 2026年9月18日（金）

時間: 15:30–17:00

会場: 早稲田キャンパス 3号館 601教室

使用言語: 英語

登録URL:
https://docs.google.com/forms/d/e/1FAIpQLSdnHa6gn1eu51F9oHIDSy0NyIGEN3hrVGMBvRijxDAkxYTVTg/viewform?usp=publish-editor

本ワークショップは対面での開催となり、参加には事前登録が必要です。上記リンクから登録ください。
お問い合わせにつきましては、[email protected] までご連絡ください。

山本鉄平