(11月14日更新）
報告者の体調不良により開催中止となりました。
The event will be canceled due to the speakers’ illness
—
船木部会より、ワークショップをご案内いたします。
皆様のご参加をお待ち申し上げます。
We are pleased to announce a workshop.
We look forward to your participation.
日程[Date]： 2023年11月17日（金）[17(Fri.) November, 2023] 17:00-18:30
開催場所[Place]： 7号館209号室 [Room 209 of Building 7 (Waseda campus, Waseda Univ.)]
報告者[Speaker]： Ali Ozkes (SKEMA Business School)
講演タイトル[Title]： Reproducibility in Management Science
使用言語[Language]：英語[English]
概要[Abstract] ：With the help of more than 700 reviewers we assess the reproducibility of nearly 500 articles published in the journal Management Science before and after the introduction of a new Data and Code Disclosure policy in 2019. When considering only articles for which data accessibility and hard- and software requirements were not an obstacle for reviewers, the results of more than 95% of articles under the new disclosure policy could be fully or largely computationally reproduced. However, for almost 29% of articles at least part of the dataset was not accessible for the reviewer. Considering all articles in our sample reduces the share of reproduced articles to 68%. The introduction of the disclosure policy increased reproducibility significantly, since only 12% of articles accepted before the introduction of the disclosure policy voluntarily provided replication materials, out of which 55% could be (largely) reproduced. Substantial heterogeneity in reproducibility rates across different fields is mainly driven by differences in dataset accessibility. Other reasons for unsuccessful reproduction attempts include missing code, unresolvable code errors, weak or missing documentation, but also soft- and hardware requirements and code complexity. Our findings highlight the importance of journal code and data disclosure policies, and suggest potential avenues for enhancing their effectiveness.
申込方法[Application]：事前申し込みは不要です。直接開催場所までお越しください。
No advance registration is required. Please come directly to the Place.
