July 2026 Newsletter

2026-07-29

Dear RERITERs,

Welcome to the newsletter of the Reproducible Research in Transportation (RERITE) working group. We’ll use this space to share brief updates, highlight opportunities to collaborate, and recognize the contributions that move our work forward. The goal is to keep it lightweight, useful, and easy to scan.

What we’ve been working on

This collection in European Transport Research Review aims to highlight the importance of reproducibility in transportation research, fostering advancements and enhancing the credibility of scientific findings. Three studies are already published, while others have been accepted recently or are still under review.

What’s coming up

Ways to get involved

Call for interest: special issue on “Evaluations & datasets for transportation research”

We are collecting needs and wish lists in preparation of two special issues that will be published on Transportation Research: Part C (TRC) and IEEE Transactions on Intelligent Transportation Systems (T-ITS). Please fill out this Google form by 30 September 2026.

Call for nominations: your papers for reproducibility student projects

As part of our initiative to promote transparency and reproducibility in transportation research, we are offering a series of Master’s projects focused on reproducing influential papers. If you would like to nominate one of your papers for reproducibility, please fill out this Google form.

Call for volunteers

We’re looking for volunteers to support several initiatives across communications, data, and open science. If you are interested in any of the roles listed below, please fill out this Google form.

Communication & Content - Website Manager - Familiarity with basic design in HTML to maintain site updates, fix broken links and improve layout. - Digital Content Manager – Familiarity with graphic design and copywriting to assist with social media calendars and newsletter drafts.

Data & Research Support - Data & ML Specialists – Benchmark Datasets – Familiarity with Python, data cleaning, and ML basics to help curate and standardize benchmark datasets for the repository. - Data & ML Specialists – Scientific Study – Familiarity with Python and data analysis to contribute to the next study on measuring reproducibility.

Shout-outs & thanks

Welcome to our new volunteers:


Join our main communication space on Discord.

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Contact

Newsletter Manager

Sunbola Zatmi Kanj

Communication Officer

Silvia Varotto

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