The Cognition and Natural Sensory Processing Workshop (CNSP), an open science initiative coordinated by the Di Liberto Lab, has been awarded the CHARM-EU Open Science Award in the team category in recognition of its contribution to advancing open, transparent and reproducible research.
Since 2021, CNSP has brought together more than 400 scientists through online workshops, in-person hackathons, data-sharing initiatives and community training. Working with an international network of neurophysiology experts, the initiative has developed a reproducible neurophysiology pipeline that combines standardised open datasets, FAIR (Findable, Accessible, Interoperable and Reusable) data releases and shared analysis code.
CNSP focuses particularly on understanding how the brain processes continuous sensory streams, such as speech and music. It provides guidelines for sharing standardised datasets, aggregates data and makes analysis resources publicly available to support reproducible research. Through workshops, hackathons and publicly accessible training materials, the initiative fosters collaboration and helps researchers adopt open science practices.
CNSP also provides a forum for open discussions on research best practices, emerging methodologies for measuring brain signals and scientific questions in neurophysiology. By promoting data sharing, transparency and the validation of scientific results, the initiative aims to accelerate research and strengthen collaboration across the scientific community.
The award recognises the collective contributions of the researchers, participants and supporters who have helped develop CNSP. These include co-founders Aaron Nidiffer, Mick Crosse and Nathaniel Zuk; core members Magdalena Kachlicka, Giorgia Cantisani and Jessica Alexander; support team members Xinyi Guan, Danna Chu and John O’Doherty; and former core member Stephanie Haro.
CNSP also acknowledges the participants who have attended its events and provided financial support, alongside colleagues who have engaged with and adopted its open science resources. The initiative is supported by TCD Computer Science and Statistics, MBT mBrainTrain, MathWorks and Artinis Medical Systems.
CNSP’s open science resources, datasets, analysis code and training materials are available through its GitHub repository and website.
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