Recorded webinar

The environmental impact of computational biology

The environmental impact of (scientific) computing, computational biology in particular, is a growing concern in light of the urgency of the climate crisis, and there is widespread interest in the research community; so what can we all do about it? Tackling this issue and making it easier for scientists to engage with sustainable computing is what motivated the Green Algorithms project

During this webinar, we will discuss what we learned along the way, how to estimate the impact of our work and dive into the carbon footprint of common bioinformatic analyses. We will also highlight the levers scientists and institutions have to make their research more sustainable, debate the ethical implications of these environmental costs and examine what is still needed moving forward.

About the speaker

Dr Loïc Lannelongue is a Research Associate in Biomedical Data Science in the Cardiovascular Epidemiology Unit and the Inouye lab at the University of Cambridge. He is also a College Post-Doctoral Associate at Jesus College, Cambridge, and an Associate Fellow of Advance HE. Loïc developed the Greener Algorithms project, in collaboration with Jason Grealey and Michael Inouye, to understand the carbon footprint of analyses and promote best practices in green computing. 

Who is this course for?

This webinar is for anyone interested in learning about the environmental impact of computational biology. No prior knowledge of bioinformatics is required.

Outcomes

By the end of the webinar you will be able to:

  • Describe how computational biology has an impact on the environment
  • Recall some actions scientists can take to reduce their environmental impact

DOI_disc_logo DOI: 10.6019/TOL.EnvImpact-w.2022.00001.1

This webinar took place on 23rd November 2022. Please click the 'Watch video' button to view the recording.

Duration: 00:56:17
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23 November 2022
Online
Free
Contact
Anna Swan

Organisers
  • Anna Swan
    EMBL-EBI

Speakers
  • Loïc Lannelongue
    University of Cambridge

Creative Commons

All materials are free cultural works licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, except where further licensing details are provided.


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