By director’s decree dated 14/11/2022, the Ministry of Enterprises and Made in Italy (MIMIT) published the second so-called procedura a sportello – in which applications are considered in chronological order, so long as the funds last – to finance industrial research and experimental development projects of high technological impact.
The agreements aim to create innovation paths that support the EU development objectives and are of strategic importance to improve the technological competitiveness of a certain industry, economic sector or geographical area.
In order to be eligible for funding, the projects must provide for the carrying out of industrial research and experimental development activities to implement new products, processes or services or to improve existing products, processes or services by developing key enabling technologies, within the specific areas of intervention of the second pillar of the European Union framework programme. Research bodies act as joint proposers of the projects, together with the direct recipients of the call for applications, i.e. businesses that operate in the industry concerned and research centres.
The total funding for the initiative amounts to € 500,000,000, 34% of which is reserved to projects to be carried out in Regions of Southern Italy.
The University of Bologna’s project
The University of Bologna also submitted two projects, both of which have been funded.
D.A.I.MON. – Dynamic Artificial Intelligence Monitoring – AI applied to the monitoring and test automation of next-generation networks
- Scientific coordinator: Professor Marco Prandini
- Department: Department of Computer Science and Engineering (DISI)
- Project lead partner: Resi Informatica S.p.A.
- Funding for DISI: €505,412.50
- Duration: 36 months
Abstract
The industrial research activities carried out by the University of Bologna focus on two main objectives:
- Objective 1: Targeted research into network traffic, with particular attention to 5G architecture and a critical review of AI algorithms for anomaly detection, prediction, and enhancement of the Quality of Experience
- Objective 2: Development in a laboratory setting of AI prototypes for anomaly detection, prediction, and Quality of Experience, applied to next-generation networks, with a particular focus on 5G networks
Innovative ingredient supply chains and optimised processes for a safe and sustainable food system
- Scientific coordinator: Professor Elena Babini
- Department: Department of Agricultural and Food Sciences (DISTAL)
- Project lead partner: Unigrà S.r.l.
- Funding for DISTAL: €876,000
- Duration: 36 months
Abstract
The project aims to develop innovative food ingredients and semi-finished products based on new supply chains, using technological approaches that comply with food safety standards and environmental sustainability criteria.
