Fondazione GRINS
Growing Resilient,
Inclusive and Sustainable
Galleria Ugo Bassi 1, 40121, Bologna, IT
C.F/P.IVA 91451720378
Finanziato dal Piano Nazionale di Ripresa e Resilienza (PNRR), Missione 4 (Infrastruttura e ricerca), Componente 2 (Dalla Ricerca all’Impresa), Investimento 1.3 (Partnership Estese), Tematica 9 (Sostenibilità economica e finanziaria di sistemi e territori).



Open Access
THEMATIC AREAS
RESEARCH LINES
RESOURCES
The development of large-scale data analysis and statistical learning methods for data science is gaining more and more interest, not only among statisticians, but also among computer scientists, mathematicians, computational physicists, economists, and, in general, all experts in different fields of knowledge who are interested in extracting insight from data.
Cross-fertilization between the different scientific communities is becoming crucial for progressing and developing new methods and tools in data science. In this respect, the Statistics & Data Science group of the Italian Statistical Society has organized its 3rd international conference held in Palermo on the 11st and 12nd of April 2024, attended by over 100 researchers from different scientific fields.
A collection of the presented papers is available in the present Proceedings showing a huge variety of approaches, methods, and data-driven problems, always tackled according to a rigorous and robust scientific paradigm.
AKNOWLEDGEMENTS
This study was funded by the European Union - NextGenerationEU, in the framework of the GRINS - Growing Resilient, INclusive and Sustainable project (GRINS PE00000018). The views and opinions expressed are solely those of the authors and do not necessarily reflect those of the European Union, nor can the European Union be held responsible for them.
CITE THIS WORK