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    Article

    Prioritize environmental sustainability in use of AI and data science methods

    Artificial Intelligence (AI) and data science will play a crucial role in improving environmental sustainability, but the energy requirements of these methods will have an increasingly negative effect on the e...

    Caroline Jay, Yurong Yu, Ian Crawford, Scott Archer-Nicholls… in Nature Geoscience (2024)

  2. Article

    GREENER principles for environmentally sustainable computational science

    The carbon footprint of scientific computing is substantial, but environmentally sustainable computational science (ESCS) is a nascent field with many opportunities to thrive. To realize the immense green oppo...

    Loïc Lannelongue, Hans-Erik G. Aronson, Alex Bateman… in Nature Computational Science (2023)

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    Article

    An atlas of genetic scores to predict multi-omic traits

    The use of omic modalities to dissect the molecular underpinnings of common diseases and traits is becoming increasingly common. But multi-omic traits can be genetically predicted, which enables highly cost-ef...

    Yu Xu, Scott C. Ritchie, Yujian Liang, Paul R. H. J. Timmers, Maik Pietzner… in Nature (2023)

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    Article

    Carbon footprint estimation for computational research

    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 sus...

    Loïc Lannelongue, Michael Inouye in Nature Reviews Methods Primers (2023)