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La data science au service de la durabilité

Author

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  • Julien Ah-Pine

    (UL2 - Université Lumière - Lyon 2, CERDI - Centre d'Études et de Recherches sur le Développement International - IRD - Institut de Recherche pour le Développement - CNRS - Centre National de la Recherche Scientifique - UCA - Université Clermont Auvergne)

Abstract

En science des données, le partitionnement de graphes permet de structurer et de synthétiser l'information des relations entre sommets en découvrant des groupes disjoints au sein desquels les sommets sont fortement interconnectés. C'est un problème combinatoire qui fait l'objet de nombreux articles et trouve des applications dans de multiples disciplines. Nous décrivons ici notre contribution sur ce thème et nous appliquons celle-ci à l'étude des interdépendances entre les 17 Sustainable Development Goals. Ceci nous permet de souligner différents types d'axes, « composites » ou « unitaires », dans l'étude du développement durable des pays.

Suggested Citation

  • Julien Ah-Pine, 2022. "La data science au service de la durabilité," Post-Print hal-03847479, HAL.
  • Handle: RePEc:hal:journl:hal-03847479
    Note: View the original document on HAL open archive server: https://uca.hal.science/hal-03847479
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    Keywords

    Sustainable Economic Development; Sustainable goals; Science des données Data Science; Durabilité environnementale;
    All these keywords.

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