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GRINS

GRINS www.grins.it

Growing, Resilient, INclusive and Sustainable

With GRINS available to public and private actors, statistical analyses capable of representing socio-economic, environmental, healthcare, and financial trends on the themes of growth, resilience, inclusivity, and sustainability.

Exprivia's task is to develop an innovative platform for managing heterogeneous georeferenced data at a granular level called AMELIA (Data Platform for the Transfer of Knowledge and Statistical Analysis). The platform will consist of an integrated set of heterogeneous georeferenced data in the economic and social domain and will offer tools, application solutions, and AI/ML models tailored to support fundamental and applied research to enable data analysis aimed at studying phenomena to create knowledge to be transferred to private and public entities to promote 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 from 25 different entities (13 Universities, 3 Research Centers, 7 Data Providers, and 2 Technological Partners, including Exprivia SpA), experts in economic, statistical, data management, policy evaluation (both ex ante and ex post), environmental, sensitive data protection domains, etc., and requires the development of machine learning and artificial intelligence solutions. Within the project, the design and implementation of the AMELIA platform and the development of application components that are part of the application infrastructure solution, also developed with AI/ML techniques, are entirely carried out by Exprivia SpA, committed as the Owner of the entire Work Package 1 which specifically deals with the design and implementation of the platform.

Exprivia, the only IT partner in the partnership with specific expertise in Data Platform, Data Integration, Data Advanced Analytics, and System and Application Integration, plays a significant role in the research, design, implementation, and testing of a highly innovative Data Platform capable of integrating every type of data (structured and unstructured), even through AI/ML models for specific activities from the data ingestion phase to personalized visualizations.

 

Funding Program PNRR - Mission 4 Component 2 Investment 1.3 financed by the European Union – NextGenerationEU


Project Code PE00000018

ENTITIES INVOLVED

Public universities:

  • Alma Mater Studiorum – Università di Bologna (leader)
  • 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 centers:

  • 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

This study was funded by the European Union - NextGenerationEU, Mission 4, Component 2, in the framework of the GRINS -Growing Resilient, INclusive and Sustainable project (GRINS PE00000018 – 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.

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