AI, Spatial Methods and the Green-Digital Transformation of Official Statistics brings together a selection of original contributions that explore how artificial intelligence, spatial methodologies, and integrated data sources jointly enhance the production and interpretation of official statistics. The volume stems from the scientific discussions developed during the international conference “Measuring and Interpreting World Changes with Statistics, Data Science and AI”, held in Rome from 18 to 20 September 2024. The conference was jointly organised by the Association for Applied Statistics (ASA), the Department of Statistical Sciences of Sapienza University of Rome, and the Italian National Institute of Statistics (ISTAT), with the participation of several academic and institutional partners. The event provided a multidisciplinary forum for examining the contribution of statistics, data science, and artificial intelligence to the understanding of contemporary economic, environmental, and social transformations.
Business Alliances and Spatial Network Backbones: A National-Scale Analysis of Formal Collaborations / Vurro, Andrea Enrico; Bumbea, Alessio; Giuffrida, Annamaria; Mazzitelli, Andrea; Espa, Giuseppe. - (2026), pp. 69-85.
Business Alliances and Spatial Network Backbones: A National-Scale Analysis of Formal Collaborations
Espa, Giuseppe
2026-01-01
Abstract
AI, Spatial Methods and the Green-Digital Transformation of Official Statistics brings together a selection of original contributions that explore how artificial intelligence, spatial methodologies, and integrated data sources jointly enhance the production and interpretation of official statistics. The volume stems from the scientific discussions developed during the international conference “Measuring and Interpreting World Changes with Statistics, Data Science and AI”, held in Rome from 18 to 20 September 2024. The conference was jointly organised by the Association for Applied Statistics (ASA), the Department of Statistical Sciences of Sapienza University of Rome, and the Italian National Institute of Statistics (ISTAT), with the participation of several academic and institutional partners. The event provided a multidisciplinary forum for examining the contribution of statistics, data science, and artificial intelligence to the understanding of contemporary economic, environmental, and social transformations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione



