Tackling the hidden costs of computational science: GREENER principles for environmentally sustainable research
There will be a Drinks Reception after the Lecture in the ground floor social area.
From genetic studies and astrophysics simulations to statistical modelling and AI, scientific computing has enabled amazing discoveries and there is no doubt it will continue to do so. However, the corresponding environmental impact is a growing concern in light of the urgency of the climate crisis, 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. Through the prism of the GREENER principles for environmentally sustainable science, we will discuss what we learned along the way, how to estimate the impact of our work and what levers scientists and institutions have to make their research more sustainable. We will also debate what hurdles exist and what is still needed moving forward.
Date: 26 April 2024, 15:30 (Friday, 1st week, Trinity 2024)
Venue: 24-29 St Giles', 24-29 St Giles' OX1 3LB
Venue Details: Large Lecture Theatre, Department of Statistics
Speaker: Dr Loïc Lannelongue (Heart and Lung Research Institute, University of Cambridge and the Cambridge-Baker Systems Genomics Initiative)
Organising department: Department of Statistics
Organisers: Beverley Lane (Department of Statistics, University of Oxford), Professor Simon Myers (University of Oxford)
Organiser contact email address: events@stats.ox.ac.uk
Hosts: Professor Christl Donnelly (University of Oxford), Professor Simon Myers (University of Oxford)
Part of: Distinguished Speaker Seminar
Booking required?: Required
Booking url: https://www.stats.ox.ac.uk/events/inaugural-green-lecture
Booking email: events@stats.ox.ac.uk
Audience: Members of the University only
Editor: Beverley Lane