Cascading Call for Extended Partnership “Future Artificial Intelligence Research Fair” – University of Pisa

June 12, 2024

FORM FACILITATION

Contribution/Repayable fund

REGIONS

Abruzzo, Basilicata, Calabria, Campania, Emilia-Romagna, Friuli-Venezia Giulia, Lazio, Liguria, Lombardy, Marche, Molise, Piedmont, Puglia, Sardinia, Sicily, Tuscany, Trentino-Alto Adige/Südtirol, Umbria, Valle d'Aosta /Vallée d'Aoste, Veneto

SECTOR

Other services

ALLOWED EXPENSE

0 €

INCENTIVE STATUS

CLOSED

OPENING DATE

CLOSING DATE

December 6, 2023
January 12, 2024

NOTES

No additional notes

Things

Public tender for the selection of project proposals, aimed at granting funding for activities consistent with the research program of the "future artificial intelligence research - fair" pe0000013, cup i53c22001380006, drawing on the resources of the national recovery and resilience plan (PNRR) mission 4, “education and research” – component 2, “from research to business” – investment line 1.3, financed by the European Union – Next generation EU”, in response to the public notice from the Ministry of University and Research ( MUR) n.341 of 15.03.2022. CUP I53C22001380006

Who is it aimed at?

a) Italian state universities; b) Italian non-state universities legally recognized and accredited by MUR; c) Research organizations pursuant to regulation (EU) 651/2014, point 83.

What does it predict

This public tender is issued by Spoke 1 “Human-Centered AI” University of Pisa – CUP I53C22001380006, for the granting of appropriate cascade funding for basic research activities which must be in line with the objectives of the Future Artificial Partnership Intelligence Research and in particular will have to respond to the following n. 6 Research objectives: OBJECTIVE 1: Novel methods for dynamic, collaborative human-AI systems. OBJECTIVE 2: Data science and statistical learning methods. OBJECTIVE 3: Constraints and time in neuro-symbolic, lifelong learning models for perceptual tasks. OBJECTIVE 4: Mathematical and physical foundations of machine learning. OBJECTIVE 5: Novel methods and tools for social and economic network reconstruction. OBJECTIVE 6: Integrating cognitive science and decision-making theory into explainable AI systems.

Objective – Purpose

Innovation and research

Form – Facilitation

Contribution/Repayable fund

Minimum Allowable Expenditure

0 €

Maximum Allowable Expenditure

0 €

Allowed Costs

Personnel costs, Buildings and land, Buildings and land, Buildings and land, Professional training, Plant/Machinery/Equipment, Plant/Machinery/Equipment, Raw materials, consumables and goods, Services, patents and licenses, Services, patents and licenses , Services, patents and licenses, Services, patents and licenses, Services, patents and licenses, Services, patents and licenses, Services, patents and licenses, Services, patents and licenses, Services, patents and licenses, Overheads/other charges, Expenses general/other charges, General/other charges, General/other charges

Minimum concession that can be granted

0 €

Maximum grantable benefit

1614850 €
Subject type
University/Research Institution

Dimension

Large Business, Medium Business, Small Business

Activity sector

Other services

ATECO

All economic sectors eligible to receive aid;

Regions

Abruzzo, Basilicata, Calabria, Campania, Emilia-Romagna, Friuli-Venezia Giulia, Lazio, Liguria, Lombardy, Marche, Molise, Piedmont, Puglia, Sardinia, Sicily, Tuscany, Trentino-Alto Adige/Südtirol, Umbria, Valle d'Aosta /Vallée d'Aoste, Veneto

Municipalities

--

Special territorial scope

--

Other features

--

Managing entity

University of Pisa

Primary regulatory basis

MUR Directorial Decree n. 341 of 15 March 2022, registered at the Court of Auditors on 03/31/2022 n. 748.
Secondary regulatory basis
--

Implementation measure

MUR Directorial Decree n. 341 of 15 March 2022, registered at the Court of Auditors on 03/31/2022 n. 748.

References Official Journal

--

Incentive allocation

1614852 €

Reference site

https://albo ufficio.unipi.it/wp-content/uploads/2023/12/BaC_FAIR_rettificato.pdf

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