The Journal of Simulation – Model Reproducibility Initiative (JOS-MRI) recognises the vital role of Open Science in promoting transparency and accessibility of simulation artefacts, with the ultimate goal of enabling model reuse.

Beginning in December 2025, authors will have the option to submit their models and data alongside their research papers for evaluation by Model Reproducibility Editors and their teams. Successful assessments may result in the award of JOS-MRI Badges. It is anticipated that most submissions will involve models developed using Free and Open Simulation Software, such as SimPy and Ciw (discrete-event simulation), NetLogo and RePast (agent-based modelling), or PySD (system dynamics modelling). Models created using commercial simulation tools such as Simul8, AnyLogic, or STELLA may also be considered, subject to the availability of licenses by the JOS-MRI team. Basic licences for some software, like Vensim, cover research explicitly and will be considered.

Submitted models will be assessed in alignment with the National Information Standards Organization’s (NISO) digital object recognition badges for Open Research, Artefact Reviewed, and Results Reproduced. An additional badge specific to Model Reuse will also be awarded. Authors must have utilised the submitted models within their accompanying research, practice, or technical note papers submitted to JOS for peer review.


The four JOS-MRI Badges are as follows:

Open Research Object: Models submitted for assessment are available in a public repository and distributed under standard open licences. This badge applies to all relevant artefacts, including code, data, models developed in commercial software, and supplementary materials such as scripts.

Research Object Reviewed: Models are reviewed by the JOS-MRI Editors and their teams to confirm that the artefacts are functional and accurately reflect the implementation details reported in the associated paper.

Results Reproduced: The submitted models are executed and tested by the JOS-MRI Editors and their teams to verify that the reported results can be successfully reproduced.

Research Object Reusable: The submitted artefacts are evaluated for their reusability, using established frameworks such as Sharing Tools and Artefacts for Reusable Simulations (STARS), STrengthening the Reporting of Empirical Simulation Studies (STRESS), Overview, Design concepts and Details (ODD) protocol for agent-based models and System Dynamics Model Documentation and Assessment (SDM-Doc). 

Badges will be awarded upon acceptance of the paper for publication in JOS. Multiple badges may be granted to acknowledge different aspects of adherence to Open Science principles. The awarded JOS-MRI Badges will appear in both online and print versions of the paper.


JOS-MRI Team

Tom Monks, University of Exeter, UK
JOS-MRI Editor for Discrete-event Simulation		 Ignacio Martinez-Moyano, Argonne National Laboratory, USA 
JOS-MRI Editor for System Dynamics
 Varun Ramamohan, Indian Institute of Technology, Delhi
JOS-MRI Co-Editor for Agent-based Models
Chick Macal, Argonne National Laboratory, USA
JOS-MRI Co-Editor for Agent-based Models
Joint Editor-in-Chief, JOS		 Nav Mustafee, University of Exeter, UK
Managing Editor of JOS-MRI
Joint Editor-in-Chief, JOS		 Richard Goodman, Taylor and Francis
Portfolio Manager, UK OR Society journals
Integration and Workflow


For more information, please contact Nav Mustafee.

Find out more about the Journal of Simulation here or all seven of the OR Society's journals here.