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The Open Science Workshop at the Max Planck Institute for Empirical Aesthetics brings together researchers dedicated to enhancing the fairness, reproducibility, and transparency of scientific research. This workshop features four interconnected talks that address critical challenges and propose actionable solutions in open science practices.
Zefan Zheng (PhD student) presents "A FAIR Workflow Guide for Researchers in Human Cognitive Neuroscience," outlining a roadmap to make both science and data FAIR—Findable, Accessible, Interoperable, and Reusable. He advocates for an open research lifecycle to ensure reproducibility, introduces a domain-specific metadata template for data discoverability, and proposes a dashboard to credit open scientists' diverse contributions.
Camila Bruder (PhD student) will present "An Overview of Registered Reports," highlighting how this publication format fosters transparency, replicability, and accountability. She will emphasize the role of the Peer Community In Registered Reports (PCI-RR) and shares personal experiences to provide practical insights into adopting registered reports, addressing both their benefits and the effort required.
In "Ensuring Experimental Integrity: A Hands-On Session on Testing and Reporting Experimental Setups," Alex Lepauvre (PhD student) will address the often overlooked aspect of systematically testing and reporting experimental setups. Through a practical session, participants will learn how to incorporate essential checks into their experimental designs, enhancing robustness and facilitating multicenter collaborations.
Seung-Goo Kim (Post-doc) will lead an open discussion on "Computing Languages for Open Science," focusing on the economic and ethical challenges surrounding open-access computing languages. The session invites participants to explore how transparency can be implemented in computational practices and to debate the best computing languages for advancing open science.