Management Science Reproducibility Project
Introduction
Reviewers sought to help assess the computational reproducibility of studies published in Management Science; Deadline 15 Jan
INTEREST CATEGORY: MARKETING RESEARCH
POSTING TYPE: Journal News
Author: Ali Ozkes
Dear Researcher:
We would like to draw your attention to an opportunity to join a new project on the reproducibility of studies published in Management Science as a replication package reviewer.
In the Management Science Reproducibility Project(ManSciReP), we assess the computational reproducibility of studies published in the journal. Since 2020 the Code&Data Editor verifies that replication materials are provided but does not attempt reproduction itself. In this project, we aim to quantify the reproducibility of results published in Management Science articles before and after the new Data and Code Disclosure Policy came into effect.
If you would be willing to review, we would assign you a paper from your own field of research, and using software that you are familiar with. We would then ask you to report back within 4-6 weeks to what extent you were able to reproduce the paper’s main results, and what the obstacles were.
This call for reviewers is open to any researcher in the community, including advanced PhD students. Please feel free to forward this call to colleagues and students.
All participating reviewers who submit a report will become members of a “consortium co-authorship” for the final publication that reports the outcomes of the project. This consortium, the “Management Science Reproducibility Collaboration”, will be listed as a co-author on the front page of the article, with all members listed by name and affiliation in the paper’s appendix.
If you are willing to participate as a reviewer, we ask you to complete this short survey, so we can match you with a paper from your field.
In case of any questions, please contact the project team at ManSciReP@informs.org.
Sincerely,
David Simchi-Levi
Editor-in-Chief, Management Science
Miloš Fišar, Ben Greiner, Christoph Huber, Elena Katok, and Ali Ozkes
Project coordinators