Data, Models and Theories for Complex Systems: new challenges and opportunities - Agropolis Accéder directement au contenu
Rapport Année : 2012

Data, Models and Theories for Complex Systems: new challenges and opportunities

Patrick Valduriez
Hervé Jourde
Esther Pacitti

Résumé

At University Montpellier 2, the modeling and simulation of complex systems has been identified as a major scientific challenge and one of the priority axes in interdisciplinary research, with major potential impact on training, economy and society. Many research groups and laboratories in Montpellier are already working in that direction, but typically in isolation within their own scientific discipline. Several local actions have been initiated in order to structure the scientific community with interdisciplinary projects, but with little coordination among the actions. The goal of the ModSysC2020 (modeling and simulation of complex systems in 2020) working group was to analyze the local situation (forces and weaknesses, current projects), identify the critical research directions and propose concrete actions in terms of research projects, equipment facilities, human resources and training to be encouraged. To guide this perspective, we decomposed the scientific challenge into four main themes, for which there is strong background in Montpellier: (1) modeling and simulation of complex systems; (2) algorithms and computing; (3) scientific data management; (4) production, storage and archiving of data from the observation of the natural and biological media. In this report, for each theme, we introduce the context and motivations, analyze the situation in Montpellier, identify research directions and propose specific actions in terms of interdisciplinary research projects and training. We also provide an analysis of the socio-economical aspects of modeling and simulation through use cases in various domains such as life science and healthcare, environmental science and energy. Finally, we discuss the importance of revisiting students training in fundamental domains such as modeling, computer programming and database which are typically taught too late, in specialized masters.
Fichier principal
Vignette du fichier
ModSiCS2020 Rapport Final - 30 janvier 2012.pdf (846.7 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01268566 , version 1 (06-12-2018)

Identifiants

  • HAL Id : hal-01268566 , version 1
  • PRODINRA : 263752

Citer

Patrick Valduriez, Nicolas Arnaud, François Briand, Olivier Gascuel, Olivier Gimenez, et al.. Data, Models and Theories for Complex Systems: new challenges and opportunities: Final Report of the ModSysC2020 Working Group. [0] LIRMM. 2012, pp.1-35. ⟨hal-01268566⟩
814 Consultations
161 Téléchargements

Partager

Gmail Facebook X LinkedIn More