# Green computing in neuroimaging research: Identifying strategies to reduce energy consumption, and training end users through roving workshops

- Institution: CERN
- Speaker: Nicholas Souter
- Year: 2026
- Language: English
- Subjects: Mathematics
- Source: [CERN](https://videos.cern.ch/record/3025555)
- Licence: [CERN](https://copyright.web.cern)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

We have measured and provided recommendations for reducing the carbon footprint of functional magnetic resonance imaging (fMRI) research. In a review paper, we provided ten recommendations for green neuroimaging computing, from the stage of analysis planning through to data dissemination. In empirical studies, we used carbon tracking tools to estimate the carbon footprint of widely used fMRI data processing pipelines. On the basis of our results, we have made empirical recommendations for neuroimaging research computing to maximise environmental sustainability without compromising data quality. Over the past year, we have disseminated our findings and recommendations via roving workshops, at neuroimaging departments across the UK and virtually at institutions overseas. These have included demonstrations of green computing tools, including digital carbon trackers and climate aware task schedulers. The work discussed here may provide a model through which others can conduct and disseminate green computing research in their own disciplines.

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## Lectures

1. [Green computing in neuroimaging research: Identifying strategies to reduce energy consumption, and training end users through roving workshops](https://invisiblenetwork.ai/learn/cern/3025555/263ed38cea5c), 20 min (CERN's player)