Nick Souter
@nicksouter.bsky.social
Postdoctoral Research Fellow at University of Sussex, studying ways of measuring the carbon footprint of fMRI data preprocessing and analysis 🌱🧠
9. Use existing data
Running analysis on previously collected and preprocessed data is a great way to test hypotheses without using additional energy to preprocess it yourself. We provide a table describing different open access datasets.
Running analysis on previously collected and preprocessed data is a great way to test hypotheses without using additional energy to preprocess it yourself. We provide a table describing different open access datasets.
February 8, 2024 at 10:56 AM
9. Use existing data
Running analysis on previously collected and preprocessed data is a great way to test hypotheses without using additional energy to preprocess it yourself. We provide a table describing different open access datasets.
Running analysis on previously collected and preprocessed data is a great way to test hypotheses without using additional energy to preprocess it yourself. We provide a table describing different open access datasets.
5. Tidy up "junk" files
Energy is needed to store and backup data. you can reduce your footprint by deleting files you don't need. For #fMRIPrep, junk files make up to 96% of total size.
Our tool fMRIPrepCleanup, automatically finds/removes this data: github.com/NickESouter/...
Energy is needed to store and backup data. you can reduce your footprint by deleting files you don't need. For #fMRIPrep, junk files make up to 96% of total size.
Our tool fMRIPrepCleanup, automatically finds/removes this data: github.com/NickESouter/...
February 8, 2024 at 10:54 AM
5. Tidy up "junk" files
Energy is needed to store and backup data. you can reduce your footprint by deleting files you don't need. For #fMRIPrep, junk files make up to 96% of total size.
Our tool fMRIPrepCleanup, automatically finds/removes this data: github.com/NickESouter/...
Energy is needed to store and backup data. you can reduce your footprint by deleting files you don't need. For #fMRIPrep, junk files make up to 96% of total size.
Our tool fMRIPrepCleanup, automatically finds/removes this data: github.com/NickESouter/...
4b. Time and location matter
You can also consider choosing cloud computing services based in countries/regions with lower average carbon intensity.
2022 data for countries and US states ⬇️
You can also consider choosing cloud computing services based in countries/regions with lower average carbon intensity.
2022 data for countries and US states ⬇️
February 8, 2024 at 10:53 AM
4b. Time and location matter
You can also consider choosing cloud computing services based in countries/regions with lower average carbon intensity.
2022 data for countries and US states ⬇️
You can also consider choosing cloud computing services based in countries/regions with lower average carbon intensity.
2022 data for countries and US states ⬇️
4a. Time and location matter
The carbon intensity of electricity peaks at busy times and drops overnight and at the weekend. By scheduling preprocessing/analysis to run at low intensity times, you can use the same amount of energy while emitting less carbon.
Data for the UK ⬇️
The carbon intensity of electricity peaks at busy times and drops overnight and at the weekend. By scheduling preprocessing/analysis to run at low intensity times, you can use the same amount of energy while emitting less carbon.
Data for the UK ⬇️
February 8, 2024 at 10:53 AM
4a. Time and location matter
The carbon intensity of electricity peaks at busy times and drops overnight and at the weekend. By scheduling preprocessing/analysis to run at low intensity times, you can use the same amount of energy while emitting less carbon.
Data for the UK ⬇️
The carbon intensity of electricity peaks at busy times and drops overnight and at the weekend. By scheduling preprocessing/analysis to run at low intensity times, you can use the same amount of energy while emitting less carbon.
Data for the UK ⬇️
Last week we ran the first 'Environmental impacts of computing (EIC) in health & life sciences research' workshop, at the Wellcome Trust in London 🌱 🖥️
You can now find recordings of all our spreakers on YouTube!
www.youtube.com/playlist?lis...
We discussed a number of topics... 🧵
You can now find recordings of all our spreakers on YouTube!
www.youtube.com/playlist?lis...
We discussed a number of topics... 🧵
November 17, 2023 at 2:27 PM
Last week we ran the first 'Environmental impacts of computing (EIC) in health & life sciences research' workshop, at the Wellcome Trust in London 🌱 🖥️
You can now find recordings of all our spreakers on YouTube!
www.youtube.com/playlist?lis...
We discussed a number of topics... 🧵
You can now find recordings of all our spreakers on YouTube!
www.youtube.com/playlist?lis...
We discussed a number of topics... 🧵
On November 7th, we're hosting the first 'Environmental impacts of computing in health & life sciences research' workshop, at the Wellcome Trust in London!
eicworkshop.info
Come along to learn more about the carbon footprint of your research computing, and how it can be reduced 🌱
eicworkshop.info
Come along to learn more about the carbon footprint of your research computing, and how it can be reduced 🌱
October 5, 2023 at 11:07 AM
On November 7th, we're hosting the first 'Environmental impacts of computing in health & life sciences research' workshop, at the Wellcome Trust in London!
eicworkshop.info
Come along to learn more about the carbon footprint of your research computing, and how it can be reduced 🌱
eicworkshop.info
Come along to learn more about the carbon footprint of your research computing, and how it can be reduced 🌱
Here's the preprint for my final PhD paper, and my first fMRI study! 🧠
We found that dissociable default mode network (DMN) subnetworks support retrieval of contextual and emotional associations, seperately from processing of retrieval demands
www.biorxiv.org/content/10.1...
We found that dissociable default mode network (DMN) subnetworks support retrieval of contextual and emotional associations, seperately from processing of retrieval demands
www.biorxiv.org/content/10.1...
October 3, 2023 at 10:40 AM
Here's the preprint for my final PhD paper, and my first fMRI study! 🧠
We found that dissociable default mode network (DMN) subnetworks support retrieval of contextual and emotional associations, seperately from processing of retrieval demands
www.biorxiv.org/content/10.1...
We found that dissociable default mode network (DMN) subnetworks support retrieval of contextual and emotional associations, seperately from processing of retrieval demands
www.biorxiv.org/content/10.1...