ML4NGP COST Action at AccelNet 6th Annual Meeting

Presentation of the ML4NGP COST Action CA21160 delivered by the Action Chair at the AccelNet 6th Annual Meeting organized for the AccelNet Principal Investigators. ML4NGP was one of the four selected COST Actions to attend the AccelNet 6th Annual Meeting, reflecting the growing global relationship between NSF AccelNet and COST Association. This annual event, hosted in Washington D. C., brought together leaders from funded NSF AccelNet projects, offering an exceptional platform for networking and collaboration on a global scale. This meeting represented a valuable opportunity to build synergies and explore new pathways for collaboration, especially in Data Sharing and Management.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-01-15
DOI
https://doi.org/10.5281/zenodo.14652352
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

ML4NGP COST Action at AccelNet 6th Annual Meeting

Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
article

ML4NGP COST Action at AccelNet 6th Annual Meeting

article en

Abstract

Presentation of the ML4NGP COST Action CA21160 delivered by the Action Chair at the AccelNet 6th Annual Meeting organized for the AccelNet Principal Investigators. ML4NGP was one of the four selected COST Actions to attend the AccelNet 6th Annual Meeting, reflecting the growing global relationship between NSF AccelNet and COST Association. This annual event, hosted in Washington D. C., brought together leaders from funded NSF AccelNet projects, offering an exceptional platform for networking and collaboration on a global scale. This meeting represented a valuable opportunity to build synergies and explore new pathways for collaboration, especially in Data Sharing and Management.

Zenodo (CERN European Organization for Nuclear Research)
University of Padua (IT)
Partnerships for the goals
Openalex Percentile: Top 34%
Scientific Computing and Data Management
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