GRINS

Growing, Resilient, INclusive and Sustainable

WITH GRINS AVAILABLE TO PUBLIC AND PRIVATE ACTORS STATISTICAL ANALYSES REPRESENTING SOCIO-ECONOMIC, ENVIRONMENTAL, HEALTH AND FINANCIAL TRENDS ON THE TOPICS OF GROWTH, RESILIENCE, INCLUSIVENESS AND SUSTAINABILITY.

Exprivia will be tasked with developing an innovative digital platform for the management of heterogeneous georeferenced data at a granular level called AMELIA dAta platforM for the transfEr of knowLedge and statistIcal Analysis. The digital platform will consist of an integrated set of heterogeneous georeferenced data in the economic-social sphere and will offer tools, application solutions and ad hoc AI/ML models to support fundamental and applied research in order to enable the analysis of data aimed at studying phenomena to create knowledge to be transferred to private and public bodies to foster resilient, inclusive and sustainable growth.

GRINS is a multidisciplinary project lasting 36 months (from 01/12/2022 to 30/11/2023); it is carried out by an extended partnership involving about 350 researchers belonging to 25 different entities (13 Universities, 3 Research Centres, 7 Data Providers and 2 Technological partners, among which Exprivia SpA), experts in the fields of economics, statistics, data management, policy evaluation (both ex ante and ex post), environment, sensitive data protection, etc., and requiring the development of machine learning and artificial intelligence solutions.

Within the project, the design and realisation of the AMELIA platform and the development of application components that are in any case part of the application infrastructure solution, also realised with AI/ML techniques, is entirely implemented by Exprivia SpA, which is committed as Owner of the whole Work Package 1 that precisely deals with the design and realisation of the digital platform.

Exprivia, the only IT partner in the partnership with specific skills in Data Platform, Data Integration, Data Advanced Analytics and System and Application Integration, has a relevant role in the research, design, implementation and testing of a highly innovative Data Platform capable of integrating any kind of data (structured and unstructured), also through AI/ML models for specific activities starting from the data ingestion phase and up to customised visualisations.

PNRR Financing Programme - Mission 4 Component 2 Investment 1.3 financed by the European Union - NextGenerationEU Project Code PE000018

ENTITIES INVOLVED

Public universities:

• Alma Mater Studiorum – Università di Bologna (capofila)
• Università Bocconi
• Università Ca’ Foscari Venezia
• Politecnico di Milano
• Università di Roma Tor Vergata
• Università di Bari
• Università di Bergamo
• Università di Cagliari
• Università di Catania
• Università di Napoli Federico II
• Università di Padova
• Università di Palermo
• Università di Torino

Research centres:

• Einaudi Institute for Economics and Finance (Eief)
• Scuola Universitaria Superiore Sant’Anna
• Centro ricerche Tagliacarne

Other public and private entities:

• Ania
• Cineca
• Crif
• Fondazione CMCC
• Exprivia
• Intesa San Paolo
• Poste Italiane
• Prometeia
• Leithà

The published study was funded by the European Union - NextGenerationEU, Mission 4, Component 2, as part of the GRINS - Growing Resilient, INclusive and Sustainable project (GRINS PE000018 - CUP B53D22000950004). 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.