RandNET
Financiado
Randomness and learning in networks
Large Networks is one of the key notions in contemporary science and technology. The availability of massive amounts of data and interaction between individuals of large populations of any kind, whether biological, social or compu...
Large Networks is one of the key notions in contemporary science and technology. The availability of massive amounts of data and interaction between individuals of large populations of any kind, whether biological, social or computer units, places network analysis at the forefront of current scientific challenges. The mathematical foundations of large networks have now become the focus of research in the later decades from diverse perspectives. The project RandNET brings together leading researchers worldwide from the areas of combinatorics, probability theory, computer science and statistics with the aim of blending approaches from these areas in the rigorous mathematical foundations for analysing random networks. The whole project is driven by real applications in data science and learning on large networks. This is planned through an alliance between academic and industrial partners. A second goal of the project is to establish a wide platform of knowledge dissemination on the topic of randomness and learning in networks for use of specialists from all scientific disciplines.
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Duración del proyecto: 65 meses
Fecha Inicio: 2020-11-27
Fecha Fin: 2026-04-30
Fecha Fin: 2026-04-30
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2020-11-27
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
MSCA-RISE-2020:
Research and Innovation Staff Exchange
Cerrada
hace 4 años
Presupuesto
El presupuesto total del proyecto asciende a
846K€
Líder del proyecto
Universidad Politécnica de Cataluña
No se ha especificado una descripción o un objeto social para esta compañía.
Total investigadores
9
Total investigadores
9
101.20K€ |
Participante