Title: Green Algorithms: Quantifying the Carbon Footprint of Computation
A methodological framework to estimate the carbon footprint of any computational task in a standardized and reliable way is presented and metrics to contextualize GHG emissions are defined
Details
Description:A methodological framework to estimate the carbon footprint of any computational task in a standardized and reliable way is presented and metrics to contextualize GHG emissions are defined
Subject Area: 1. Natural sciences, 2. Engineering and technology – Computer and information sciences, Electrical engineering, electronic engineering, information engineering, Physical sciences
Education Level: Higher education
Education Use: Professional development
Author: Lannelongue, L., Grealey, J., and Inouye, M. Date added: 06-04-2022Language: EN
Publisher/Institution: Advanced science
License type: Creative Commons-Attribution (CC BY) 
Primary User: Teacher
Learning resource type (IEEE LOM): Narrative Text (theory)
Technical type (IEEE LOM): Text – Document
Time to read: 150min
Learning outcomes:
- Have a general understanding of Carbon Footprint
- Evaluate the energy consumption of digital services in use
DigComp competence area: 1. Information and data literacy – 1.3 Managing data, information and digital content
DigComp proficiency level: 4.Tasks, and well defined and non-routine problems
Link: http://10.1002/advs.202100707
Key words: Artificial Intelligence, carbon footprint, computation, Green algorithms
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