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Carbon footprint estimation for computational research

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Lannelongue, loic 
Inouye, Michael 

Abstract

Data analysis relies heavily on computation, and algorithms have grown more demanding in terms of hardware and energy. Monitoring their environmental impacts is and will continue to be an essential part of sustainable research. Here, we provide guidance on how to do so accurately and with limited overheads.

Description

Keywords

46 Information and Computing Sciences, 4104 Environmental Management, 41 Environmental Sciences, 12 Responsible Consumption and Production, 7 Affordable and Clean Energy

Journal Title

Nature Reviews Methods Primers

Conference Name

Journal ISSN

2662-8449
2662-8449

Volume Title

Publisher

Springer Science and Business Media LLC
Sponsorship
National Institute for Health and Care Research (IS-BRC-1215-20014)
ESRC (ES/T013192/1)
British Heart Foundation (RG/18/13/33946)
British Heart Foundation (None)
MRC (MR/S502443/1)