The storage and processing of research data uses energy, and therefore has a carbon footprint. In his talk, Nick will discuss how computing leads to carbon emissions, and what can be done to reduce personal research computing footprint. Specifically, Nick will provide context on:
- The scale of impact of computing on the climate
- The impact of accumulating unused ‘dark data’
- The importance of carbon intensity
- How to cut back on unnecessary computing
- Current methods for tracking computing energy usage and carbon emissions
The content discussed here will include specific examples from neuroimaging research, but the messages and approaches discussed will apply to any discipline requiring the processing of large amounts of data. The session will end with hands-on demonstrations of a digital carbon tracking tool and a climate aware task scheduler.
You can already submit your questions to Nick, by sending them now to lorier@inserm.fr
The webinar is open to all by registering via the link
This webinar will be in English
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