Code for Thought Peter Schmidt

How can we make computing environmentally more sustainable. Meet Loïc Lannelongue, who - together with Michael Inouye - created the Green Algorithms project. Amongst other things, it allows us to estimate the carbon footprint of our algorithms and computing jobs. 

The project has been awarded the HDR UK Susannah Boddie Award for Impact of the Year in March 2024. 

Links:
https://www.green-algorithms.org the home page of Green Algorithms where you also find the link to their estimation toolhttps://github.com/GreenScheduler/cats the green task scheduler - an output from the Collaborations Workshop 2023https://www.hdruk.ac.uk/news/winners-announced-2024-hdr-uk-annual-prizes/ the HDR UK award page for 2024https://github.com/Llannelongue Loïc's GitHubhttps://www.lannelongue.eu his homepagehttps://www.inouyelab.org Michael Inouye his colleague https://greensoftware.foundation The Green Software Foundation

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Lecturers without Borders  wants to bring scientists and school students together. It is an exciting project and for this episode I talked to Eugenia Covernton, who's leading the non-profit organisation. 
So, if you are a travelling researcher or RSE, or even if you want to do it from the comfort of your home, LeWiBo give you an opportunity to share your work in schools.

https://www.lewibo.org

The web-site lists a number of partnering organisations like https://www.europlanet-society.org/european-planetary-science-congress/ .
You can also register your interest there directly.


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Thank you for listening and your ongoing support. It means the world to us!
Support the show on Patreon https://www.patreon.com/codeforthought
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scikit-learn is a highly successful and popular Python library for data science and machine learning. It is open source and has a large contributor base. 

I had the pleasure to meet with some of the scikit-learn team to talk about how they got involved and how it is possible to run an Open Source project of this size and scale. 

If you like to get involved, here are a few links to their home page and GitHub repository.


https://scikit-learn.org/stable/index.html scikit-learn homepagehttps://github.com/scikit-learn/scikit-learn GitHub repohttps://blog.scikit-learn.org Blog postGo to the community page of scikit-learn to get links to LinkedIn, Twitter and others
Support the show
Thank you for listening and your ongoing support. It means the world to us!
Support the show on Patreon https://www.patreon.com/codeforthought
Get in touch:
Email mailto:code4thought@proton.me UK RSE Slack (ukrse.slack.com): @code4thought or @piddie US RSE Slack (usrse.slack.com): @Peter Schmidt Mastadon: https://fosstodon.org/@code4thought or @code4thought@fosstodon.org LinkedIn: https://www.linkedin.com/in/pweschmidt/ (personal Profile)LinkedIn: https://www.linkedin.com/company/codeforthought/ (Code for Thought Profile) This podcast is licensed under the Creative Commons Licence: https://creativecommons.org/licenses/by-sa/4.0/

In this episode I meet with Dr Emma Karoune and some of her colleagues from The Alan Turing Institute in London https://www.turing.ac.uk/ to talk about who and what skills we need to create and run modern data science teams. Emma is one of the awardees of the Skills and Policy award at the Turing.
https://www.turing.ac.uk/skills-policy-awards-20232024 The Skills and Policy Award by The Alan Turing Institutehttps://iuk.ktn-uk.org/programme/bridgeai/ The UKRI Bridge AI programmePeople interviewed in this episode
Dr Emma Karoune, Senior Research Community Manager, Health & Tools, Practices & Systems https://www.turing.ac.uk/people/research-associates/emma-karouneDr Aida Mehonic, TPS Senior Researcher - Research Applications. Research Application management webpage - Research Application Management | The Alan Turing InstituteVicky Hellon, Research Community Manager. Open Research Community Management Team - Open Research Community Management | The Alan Turing InstituteLuis Santos, Senior Data Wrangler. Data for research Team -  Data for Research (Data Wrangling) | The Alan Turing InstituteKatriona Goldman and Jonathan Yong, Research Data Scientists. Research Engineering Group  - Research Engineering Group | The Alan Turing InstituteDr Emma Karoune's work is supported by the Ecosystem Leadership Award under the EPSRC Grant EP/X03870X/1 and The Alan Turing Institute.

Turing data science case study will be published at: https://www.turing.ac.uk/research/research-projects/professionalising-traditional-and-infrastructure-research-roles-data
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This ByteSized RSE episode talks about the Citation File Format (CFF) https://citation-file-format.github.io/ , created in 2017 to promote the inclusion of software in scientific papers. My guest is Jason Maassen from the eScience Center in the Netherlands.

For answers to the quiz questions, email: mailto:code4thought@proton.me

Background:
Early scientific Journals: https://en.wikipedia.org/wiki/Journal_des_sçavans and https://en.wikipedia.org/wiki/Philosophical_Transactions_of_the_Royal_Society The "Garfield" Index (impact factors) original paper: https://garfield.library.upenn.edu/papers/science1955.pdf overview of impact factors: https://en.wikipedia.org/wiki/Impact_factor CFF/Software Citations
https://doi.org/10.7717/peerj-cs.86 the Force11 paper on principles of software citationhttps://www.software.ac.uk/publication/how-cite-and-describe-software a blog post from the Software Sustainability Institutehttps://citation-file-format.github.io/ The CFF project on GitHubhttps://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-citation-files GitHub documentation on CFFhttps://zenodo.org/records/10650644 Stephan Druskat's paper on CFFSupport the show
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Die diesjährige Konferenz des deRSE Vereins in Deutschland fand in Würzburg zwischen dem 5.März und 7.März statt.
Es gab, wie auch schon letztes Jahr viele interessante Schwerpunktthemen, wie z.B. Continuous Integration oder Teaching RSE. 
In dieser Folge hört Ihr von verschiedenen TeilnehmerInnen der Konferenz:
John Arnold RWTH Aachen - 3min06sJan Küster Universität Bremen - 7min7sUwe Schmitt und Franziska Oschmann - 15min12sGuido Juckeland - 21min30sHeidi Seibold - 27min38sFlorian Goth und Jan Phillip Thiele - 33min10sEin paar Links
https://events.hifis.net/event/994/overview die Homepage von der Konferenz, auf der Ihr alle Vorträge (mit Präsentationen) finden könntZum Thema Teachinghttps://github.com/DE-RSE/learn-and-teach die GitHub pagehttps://arxiv.org/pdf/2311.11457.pdf das Paper zum Thema RSE Kompetenzen etchttps://lists.uni-wuerzburg.de/mailman/listinfo/teachingrse die Mailing Listehttps://digital-research.academy die Digital Research Academyhttps://rse.ethz.ch Die ETH Zürich RSE Gruppehttps://westai.de WestAI der RWTH AachenSupport the show
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Get in touch:
Email mailto:code4thought@proton.me UK RSE Slack (ukrse.slack.com): @code4thought or @piddie US RSE Slack (usrse.slack.com): @Peter Schmidt Mastadon: https://fosstodon.org/@code4thought or @code4thought@fosstodon.org LinkedIn: https://www.linkedin.com/in/pweschmidt/ (personal Profile)LinkedIn: https://www.linkedin.com/company/codeforthought/ (Code for Thought Profile) This podcast is licensed under the Creative Commons Licence: https://creativecommons.org/licenses/by-sa/4.0/