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Reproducibility

reproducibility
forecasting
transparency
replicability
This project focuses on methodologies and best practices of ensuring reproducibility in scientific research, particularly in the context of forecasting and computational science. It explores best practices, tools, and case studies to enhance the reliability and transparency of research findings.
Author

Bahman Rostami-Tabar

Published

March 3, 2026

Appointed Reproducibility Editor for the International Journal of Forecasting

I have been appointed as Reproducibility Editor at the International Journal of Forecasting, reflecting a major step forward in promoting transparency and scientific integrity in forecasting research.

Mar 3, 2026
Bahman Rostami-Tabar

Reproducibility in the International Journal of Forecasting

Suggestions to consider when preparing your reprodicubulity package and Readme file

Apr 3, 2026
Bahman Rostami-Tabar
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