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Multidisciplinary High Performance Data Analysis Forum: summary and recommendations (SIAM CSE 2019)

Abstract : The Multidisciplinary High Performance Data Analysis for Societal Challenges Forum held in Saint Girons (France) on June 17-19, 2018 was organized by the Informatics Research Institute of Toulouse (IRIT) and the Lawrence Berkeley National Laboratory (LBNL), with the support of the LabEx CIMI (Centre International de Mathmatiques et Informatique de Toulouse). The participants included decision-makers in research laboratories and academy, all faced with problems related to societal challenges. The forum had an international dimension with the participation of representatives from the USA, Japan and Europe. The planning of the forum was motivated by the realization that the digital transformation is of great concern for public and private research organisations. This forum will be convened yearly, such that participants will be able to take stock ,share experiences, and propose dynamic approaches for organizing R&D communities. The first Forum sought to foment discussions about on going or yet to-be implemented mechanisms for data collection and processing related to the societal challenges. It is important to assess their potential impact, particularly on the management of research teams working on societal challenges. The out come of the first forum is summarized in recommendations that will be presented during the talk.
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Submitted on : Wednesday, November 18, 2020 - 4:01:52 PM
Last modification on : Wednesday, November 3, 2021 - 7:26:32 AM

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  • HAL Id : hal-03012567, version 1

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Michel Daydé, Pierre-Henri Cros, Osni Marques. Multidisciplinary High Performance Data Analysis Forum: summary and recommendations (SIAM CSE 2019). SIAM Conference on Computational Science - CSE 2019, SIAM : Society for Industrial and Applied Mathematics, Feb 2019, Spokane, United States. ⟨hal-03012567⟩

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