{"id":8569,"date":"2024-09-19T07:56:11","date_gmt":"2024-09-19T07:56:11","guid":{"rendered":"https:\/\/new.exprivia.it\/senza-categoria\/grins-amelia-digital-platform\/"},"modified":"2026-06-04T15:48:27","modified_gmt":"2026-06-04T15:48:27","slug":"grins-amelia-digital-platform","status":"publish","type":"post","link":"https:\/\/www.exprivia.it\/en\/insights\/case-history\/grins-amelia-digital-platform\/","title":{"rendered":"GRINS: AMELIA digital platform"},"content":{"rendered":"

Needs<\/h2>\n

AMELIA: cutting-edge digital platform for the management of georeferenced data<\/h3>\n

As part of the GRINS<\/strong> project, Exprivia <\/strong>has developed a digital platform for the management of heterogeneous georeferenced data<\/strong> at a granular level, called AMELIA <\/strong>(dAta platforM for the transfEr of knowLedge and statistIcal Analysis).<\/p>\n

It is an advanced digital platform<\/strong> that will integrate a wide range of heterogeneous georeferenced data<\/strong> in the economic-social field and will provide tools, application solutions and customized AI\/ML models, designed to support fundamental and applied research. The aim is to enable the analysis and management of data<\/strong> for the study of phenomena in the sector, generating knowledge that can be transferred to private and public entities, in order to promote resilient, inclusive and sustainable growth. <\/p>\n

Exprivia Solution<\/h2>\n

Exprivia<\/strong>, as the only IT partner of the GRINS project<\/strong>, plays a crucial role in the development and management of<\/strong> cutting-edge digital platforms. With our expertise in Data Platform<\/strong>, Data Integration<\/strong>, Data Advanced Analytics<\/strong> and System and Application Integration<\/strong>, we contribute significantly to research, design, implementation and testing. <\/p>\n

AMELIA <\/strong>is a digital georeferenced data management platform<\/strong> capable of integrating any type of data, both structured and unstructured, which uses AI\/ML models<\/strong> to manage specific processes, from the ingestion phase to the creation of customized visualizations.<\/p>\n

Within the GRINS project<\/strong> , the design and implementation of the AMELIA digital platform<\/strong> and the development of application components that are still part of the application infrastructure solution, also created with AI\/ML techniques, took place. The platform is entirely developed by Exprivia SpA<\/strong>, which is involved as Owner of the entire Work Package 1, which is responsible for the design and implementation of the same. <\/p>\n

GRINS PNRR<\/strong> funding programme – Mission 4, Component 2, Investment 1.3, funded by the European Union \u2013 NextGenerationEU<\/p>\n

Project Code PE00000018<\/p>\n

GRINS: Growing, Resilient, INclusive and Sustainable<\/h3>\n

GRINS <\/strong>is a multidisciplinary project<\/strong> funded by the PNRR <\/strong>lasting 36 months (from 01\/12\/2022 to 30\/11\/2023). It is carried out by an extensive partnership involving about 350 researchers<\/strong> belonging to 25 different institutions (13 Universities, 3 Research Centers, 7 Data Providers and 2 Technology Partners, including Exprivia SpA).<\/strong> A pool expert in the economic, statistical, data management<\/strong>, policy evaluation (both ex ante and ex post), environmental, sensitive data protection, etc. domains and which requires the development of machine learning and artificial intelligence solutions. <\/p>\n

GRINS<\/strong> is available to public and private actors for statistical analyses capable of representing socio-economic, environmental, health and financial trends on the issues of growth, resilience, inclusiveness and sustainability.<\/p>\n

GRINS project: institutions involved<\/h3>\n

Public Universities:<\/strong> Alma Mater Studiorum \u2013 University of Bologna (leader), Bocconi University, Ca’ Foscari University of Venice, Polytechnic University of Milan, University of Rome Tor Vergata, University of Bari, University of Bergamo, University of Cagliari, University of Catania, University of Naples Federico II, University of Padua, University of Palermo, University of Turin.<\/p>\n

Research centres:<\/strong> Einaudi Institute for Economics and Finance (Eief), Sant’Anna University School of Advanced Studies, Tagliacarne Research Center<\/p>\n

Other public and private entities:<\/strong> Ania, Cineca, Crif, CMCC Foundation, Exprivia, Intesa San Paolo, Poste Italiane, Prometeia, Leith\u00e0<\/p>\n

The published study was funded by the European Union \u2013 NextGenerationEU, Mission 4, Component 2, as part of the <\/em>GRINS<\/em><\/a> – Growing Resilient, INclusive and Sustainable (GRINS PE00000018 \u2013 CUP B53D22000950004) project. The views and views 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 the same.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

With GRINS, statistical analyses are available to public and private actors that can represent socio-economic, environmental, health and financial trends on the issues of growth, resilience, inclusiveness and sustainability. <\/strong> <\/p>\n

Exprivia has the task of developing an innovative platform for the management of<\/strong> heterogeneous georeferenced data at a granular level called AMELIA dAta platforM for the transfEr of knowLedge and statistIcal Analysis.<\/p>\n

 <\/p>\n","protected":false},"author":2,"featured_media":8572,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[134],"tags":[141,155,142,154],"class_list":["post-8569","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-case-history","tag-artificial-intelligence","tag-cloud","tag-data-management","tag-public-administration"],"acf":[],"yoast_head":"\nGRINS: AMELIA digital platform - Exprivia<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.exprivia.it\/en\/insights\/case-history\/grins-amelia-digital-platform\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GRINS: AMELIA digital platform\" \/>\n<meta property=\"og:description\" content=\"With GRINS, statistical analyses are available to public and private actors that can represent socio-economic, environmental, health and financial trends on the issues of growth, resilience, inclusiveness and sustainability. 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