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Data Champions Lunch Talks - Green Bytes: Data-Driven Approaches to EPFL Sustainability

Cubero-Castan, Manuel Simon Paul  
•
Peon Quiros, Miguel  
•
Gabella, Chiara  orcid-logo
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April 24, 2024
Data Champions Lunch Talks - Green Bytes: Data-Driven Approaches to EPFL Sustainability

For this edition of the DC Lunch Talks series, the discussion centered around Data-Driven Approaches to sustainability at EPFL, a topic of significant relevance in the contemporary academic landscape. The event featured a series of short talks by experts who shared their insights and perspectives on the integration of green technologies and hints for research data management and analysis. The speakers and their respective topics are: * “Data and sustainability at a server level”, by Dr. Miguel Peon Quiros, Computer Scientist and administrator of the EPFL EcoCloud; * “Computational work as part of a solution: extracting electricity from heat”, by Enrico Di Lucente, EPFL PhD Student in Materials Science and Engineering, ; * “GREENER principles for environmentally sustainable computational science”, by Dr. Loïc Lannelongue, Specialist in Biomedical data science and research sustainability at Univ. of Cambridge; * “Situation at EPFL and experiences in minimizing our data footprint”, by Dr. Manuel Cubero-Castan, Manager for Sustainable IT Systems Project at EPFL Sustainability. Following the presentations, attendees had the opportunity to engage with the panel in a lively Q&A session, fostering thoughtful conversations on the pivotal role of research data production and storage for tackling the goals of sustainability. The event was held on April 18th, 2024, thanks to the organization of the RDM Team of EPFL Library. You can find here the files of the presentations. You can learn more here about the EPFL Data Champions here, https://go.epfl.ch/datachampions.

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DC_LunchTalks_13_20240418_Cubero-Castan_EpflDataFoottprint.pdf

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openaccess

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CC BY

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1.65 MB

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DC_LunchTalks_13_20240418_DiLucente_ElectricityFromHeat.pdf

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openaccess

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CC BY

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3.23 MB

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Adobe PDF

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aab1c98311c26b20fde4523b59d4f6f2

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