{"id":4517,"date":"2024-07-24T17:25:47","date_gmt":"2024-07-24T15:25:47","guid":{"rendered":"https:\/\/fondazione-fair.it\/?p=4517"},"modified":"2026-04-24T15:00:18","modified_gmt":"2026-04-24T13:00:18","slug":"cascade-calls-for-research-the-winners-of-the-spoke-9-call","status":"publish","type":"post","link":"https:\/\/fondazione-fair.it\/en\/news\/cascade-calls-for-research-the-winners-of-the-spoke-9-call\/","title":{"rendered":"Cascade calls for research: the winners of the Spoke 9 call"},"content":{"rendered":"

Today we present the winning projects of the cascade calls (FAIR cascade funding calls) from Spoke 9<\/a><\/strong>, coordinated by the University of Calabria (with affiliates CNR and Deloitte).<\/p>\n

What are cascade calls?<\/strong><\/h5>\n

Within the \u201cCall for the creation of Extended Partnerships among universities, research centers, and companies for the funding of basic research projects\u201d<\/em>, included among the research supply chain measures of the National Recovery and Resilience Plan (PNRR) and published by the Ministry of University and Research (MUR) in March 2022, Spokes within the Extended Partnerships are required to issue calls to grant funding to entities external to the Partnership for research activities and for the procurement of supplies, goods, and services necessary for implementation.<\/p>\n

The first cascade calls<\/a> issued by FAIR were reserved for research projects carried out by State Universities<\/strong>, non-State Universities<\/strong> legally recognized and accredited by MUR, and Public Research Bodies<\/strong> supervised by MUR, for a total budget of \u20ac18 million<\/strong> distributed across the ten spokes of the project. A second funding tranche, still open<\/a>, is dedicated to cascade calls for micro, small, medium, and large enterprises<\/strong>.<\/p>\n


\nWinners of the Spoke 9 call<\/strong><\/h5>\n

Spoke 9 focuses its research on Green-aware AI<\/strong>: the goal is to define a new generation of artificial intelligence systems and algorithms in which \u2013 regardless of the specific application domain \u2013 the green dimension is embedded \u201cby design\u201d.<\/p>\n

These are the winning projects<\/strong><\/a> of the call issued by Spoke 9, with a total funding of \u20ac2,269,752.95 across 13 research objectives:<\/p>\n

Models and Algorithms relying on Knowledge Graphs for Sustainable Development Goals monitoring and Accomplishment \u2013 MAGDA<\/strong>
\nProject Coordinator:<\/em> Prof. Simona Ester Rombo, University of Palermo
\nIn recent years, increasing attention has been devoted to global sustainability and its key challenges. This project contributes to both fundamental research on Knowledge Graphs and sustainability, and to applied issues related to specific SDGs. It leverages a multidisciplinary team with expertise ranging from algorithm design to big data integration, bioinformatics, IoT, and medicine.<\/p>\n

Enhanced Network of Intelligent Agents for Building Livable Environments \u2013 ENABLE<\/strong>
\nProject Coordinator:<\/em> Prof. Stefania Costantini, University of L\u2019Aquila
\nThe project aims to establish a new \u201cHolistic City\u201d paradigm, improving citizens\u2019 quality of life while addressing environmental sustainability, resource efficiency, and ethical values. AI systems are envisioned as active agents supporting human well-being and urban sustainability.<\/p>\n

Smart Knowledge-Driven Environmental and Territorial Monitoring \u2013 SKET-Monitor<\/strong>
\nProject Coordinator:<\/em> Prof. Luca Pulina, University of Sassari
\nSKET-Monitor develops intelligent systems for environmental monitoring, combining knowledge representation and ICT tools to support risk prevention, urban management, and the preservation of natural and cultural heritage.<\/p>\n

Green Deep Learning approaches to Clinical AI \u2013 NAEL<\/strong>
\nProject Coordinator:<\/em> Prof. Francesco Carlo Morabito, University of Reggio Calabria
\nThe project develops energy-efficient AI solutions for healthcare, focusing on sustainable machine learning techniques such as few-shot learning, edge computing, and explainability, aiming to reduce environmental impact while improving clinical performance.<\/p>\n

Machine Learning for Bioinformatics \u2013 FAIR-BIOINFORMATICS<\/strong>
\nProject Coordinator:<\/em> Prof. Mario Cannataro, Magna Graecia University of Catanzaro
\nThe project focuses on designing green-aware AI algorithms for bioinformatics and text mining, applied to biological networks and biomedical data analysis.<\/p>\n

Existence, Complexity and Efficiency of Stable Solutions in Green-Oriented Games \u2013 EcoGames<\/strong>
\nProject Coordinator:<\/em> Luca Moscardelli, University of Chieti-Pescara
\nEcoGames explores the integration of sustainability into game theory, studying energy-efficient equilibria in systems of self-interested agents.<\/p>\n

Green-Aware MechanismS \u2013 GAMES<\/strong>
\nProject Coordinator:<\/em> Prof. Vittorio Bil\u00f2, University of Salento
\nThe project develops mechanisms to improve efficiency in strategic interactions by incorporating environmental awareness into agent behavior and system design.<\/p>\n

Graph Algorithms and Mining for Green Agents \u2013 GAMING<\/strong>
\nProject Coordinator:<\/em> Prof. Gianlorenzo D\u2019Angelo, Gran Sasso Science Institute
\nGAMING designs energy-efficient graph algorithms and network planning tools to reduce energy consumption in complex systems and infrastructures.<\/p>\n

Energy-efficient Computation of Graph Edit Distance \u2013 ECOGED<\/strong>
\nProject Coordinator:<\/em> Prof. Pasquale De Meo, University of Messina
\nThe project evaluates energy-efficient methods for computing graph similarity, combining heuristic and machine learning approaches to optimize performance and sustainability.<\/p>\n

A Collaborative Ecosystem for Industry 5.0 \u2013 CE4I5.0<\/strong>
\nProject Coordinator:<\/em> Prof. Domenico Ursino, Polytechnic University of Marche
\nCE4I5.0 aims to design a collaborative ecosystem for Industry 5.0, integrating AI, IoT, and automation to enable sustainable, human-centered industrial processes.<\/p>\n

Argumentation for Informed Decisions with applications to Energy Consumption in Computing \u2013 AIDECC<\/strong>
\nProject Coordinator:<\/em> Prof. Federico Cerutti, University of Brescia
\nThe project integrates argumentation theory and causal modeling to improve energy efficiency in neural network training, contributing to more sustainable AI development.<\/p>\n

Smart Knowledge: Enhancing Argumentation and Abstraction for Explanation and Analysis \u2013 SMARTK<\/strong>
\nProject Coordinator:<\/em> Prof. Gianluca Amato, University of Chieti-Pescara
\nSMARTK advances methodologies for explainable AI through knowledge abstraction, argumentation, and automated reasoning.<\/p>\n

Mechanism Design, Online Learning, Robust Optimization, and Sentiment Extraction Tools for Adjustable Green-Aware Agents \u2013 MORE-GREEN<\/strong>
\nProject Coordinator:<\/em> Prof. Diodato Ferraioli, University of Salerno
\nMORE-GREEN develops tools to encourage sustainable behavior in agents through AI techniques such as sentiment analysis, network mining, and adaptive intervention strategies.<\/p>\n","protected":false},"excerpt":{"rendered":"

Today we present the winning projects of the cascade calls (FAIR cascade funding calls) from Spoke 9, coordinated by the University of Calabria (with affiliates CNR and Deloitte). What are cascade calls? Within the \u201cCall for the creation of Extended Partnerships among universities, research centers, and companies for the funding of basic research projects\u201d, included…<\/p>\n","protected":false},"author":1,"featured_media":2103,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46,56],"tags":[150,38],"class_list":["post-4517","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-spoke-9-green-aware-ai-en","tag-artificial-intelligence","tag-intelligenza-artificiale"],"_links":{"self":[{"href":"https:\/\/fondazione-fair.it\/en\/wp-json\/wp\/v2\/posts\/4517","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fondazione-fair.it\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fondazione-fair.it\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fondazione-fair.it\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fondazione-fair.it\/en\/wp-json\/wp\/v2\/comments?post=4517"}],"version-history":[{"count":1,"href":"https:\/\/fondazione-fair.it\/en\/wp-json\/wp\/v2\/posts\/4517\/revisions"}],"predecessor-version":[{"id":4518,"href":"https:\/\/fondazione-fair.it\/en\/wp-json\/wp\/v2\/posts\/4517\/revisions\/4518"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/fondazione-fair.it\/en\/wp-json\/wp\/v2\/media\/2103"}],"wp:attachment":[{"href":"https:\/\/fondazione-fair.it\/en\/wp-json\/wp\/v2\/media?parent=4517"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fondazione-fair.it\/en\/wp-json\/wp\/v2\/categories?post=4517"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fondazione-fair.it\/en\/wp-json\/wp\/v2\/tags?post=4517"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}