News

Computational reproducibility is widely acknowledged as good for science; it can, at times, for the individual researcher, feel like an overhead burden that reduces agility and speed. The Seminar will …

This year, the Open Science Day will feature best practices in open science from researchers at the University of Mannheim, including open science implementations in economic history, software engineering, and …

For the first time in Switzerland, four prestigious academic institutions are coming together to offer you a unique event: four days dedicated to open sciences! The University of Lausanne (UNIL), …

The National Centre for the Replacement, Refinement, and Reduction of Animals in Research (NC3Rs) is recruiting researchers for a study they are currently running. They are looking for researchers in …

Pre-registration is the most widely used method to prevent questionable research practices and protect against subconscious researcher bias. However, pre-registration can be challenging when reasonable deviations from the analysis plan …

The Computational Reproducibility Working Group at SwissRN is kindly inviting you to the monthly seminar next week: Thursday, 20th June 2024, 11:00-12:00 via Zoom. About REANA: REANA is a free and open source …

The SwissRN Academy – the early career section of the SwissRN – is organizing a Reproducibility Hackathon at the Swiss Reproducibility Conference 2024 (https://www.reproducibility.ch/) on Tuesday, June 11, 2024 at …

You are invited to the two short talks on research data management and researcher degrees of freedom. We look forward to your participation! Speakers Dr. habil. Olga Churakova, Data Steward: …

The Swiss Reproducibility Network (SwissRN) is organizing two half-day workshops for researchers in all empirical disciplines and at all levels at SwissRN institutional members in Switzerland: one about preregistration and …

Following the success of the MOOC “Reproducible research: methodological principles for transparent science,” the authors continue on the same theme, dealing more specifically with massive data issues and their complex …