Science in the public conversation

Research beyond papers

Essays, expert commentary and press features connecting M.O.D.A.L. research with the public debate on Artificial Intelligence, Digital Twins, scientific computing and data-driven society.

8authored essays
4press features
2020–2025public engagement archive
M.O.D.A.L. logoOUTREACHExpert commentary · media · public engagement
Archive

Essays & press

Expert commentary
Agenda Digitale

Promette sostenibilità ma prosciuga risorse: il vero impatto ambientale dell’IA

Salvatore Cuomo · Fabio Giampaolo · Francesco Piccialli

A critical analysis of the environmental cost of AI, from energy and water consumption to hardware life-cycle impacts and computational responsibility.

Sustainable AIGreen AIHPC
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Expert commentary
Agenda Digitale

Quando l’IA impara a dimenticare: perché serve il machine unlearning

Francesco Piccialli

Why selective forgetting is becoming a technical requirement for privacy, security, governance and the maintenance of AI systems.

Trustworthy AIMachine UnlearningPrivacy
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Expert commentary
Agenda Digitale

Digital twin di impianti industriali, come si creano con edge AI e federated learning

Ciro D’Addio · Antonella Guzzo · Pian Qi · Martina Savoia · Francesco Piccialli · Salvatore Cuomo

How Edge AI and Federated Learning can support continuously updated digital twins of industrial plants and complex infrastructures.

Digital TwinsEdge AIFederated Learning
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Expert commentary
Agenda Digitale

HPC per digital twins industriali, come funziona: ecco le applicazioni

Francesco Piccialli · Salvatore Cuomo · Daniela Annunziata · Marzia Canzaniello · Pian Qi · Fabio Giampaolo

High-Performance Computing as an enabling layer for simulation, prediction and optimization in advanced industrial digital twins.

HPCDigital TwinsIndustry
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Expert commentary
Agenda Digitale

Federated learning: ecco come rende le smart city più sicure

Francesco Piccialli · Martina Savoia

Federated learning for urban services, IoT and mobility, enabling collaborative intelligence while limiting the movement of sensitive data.

Federated LearningSmart CitiesPrivacy
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Expert commentary
Agenda Digitale

Federated Learning ed Edge AI: innovazioni per un’AI sicura e decentralizzata

Daniela Annunziata · Fabio Giampaolo · Francesco Piccialli · Edoardo Prezioso

A decentralised AI perspective combining federated learning and edge computing for privacy, operational resilience and energy efficiency.

Federated LearningEdge AIDistributed AI
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Expert commentary
Agenda Digitale

L’intelligenza artificiale nei sistemi HPC: cosa sono le Physics-Informed Neural Networks

Salvatore Cuomo · Fabio Giampaolo · Francesco Piccialli

An introduction to the convergence of High-Performance Computing, Physics-Informed Neural Networks and AI for modelling complex systems.

Scientific MLPINNsHPC
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Press & feature
Il Roma

Francesco Piccialli tra scienza e futuro

Interview by Mimmo Sica

A long-form interview on the origins of M.O.D.A.L., research in AI and scientific computing, international collaborations and the role of technology in society.

ProfileM.O.D.A.L.Artificial Intelligence
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Press & feature
Il Messaggero Casa

«IA e ricerca matematica, ho scelto di tornare a Napoli»

Interview by Mariagiovanna Capone

An interview on academic choices, the decision to build research in Naples, M.O.D.A.L. and the development of AI and mathematical research at Federico II.

ProfileNaplesResearch
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Press & feature
la Repubblica · Italian Tech

500 italiani e italiane che contano nell’Intelligenza Artificiale

Riccardo Luna

Francesco Piccialli is included in the national mapping of people shaping artificial intelligence in Italy, with M.O.D.A.L. highlighted among the research activities at Federico II.

RecognitionArtificial IntelligenceItaly
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Press & feature
Il Mattino

Intelligenza artificiale, dalla Federico II l’algoritmo che decongestiona gli ospedali

Paola Marano

Coverage of Federico II research using artificial intelligence to forecast healthcare demand and support the decongestion of health facilities in Campania.

Healthcare AIForecastingCampania
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Institutional research coverage · University of Naples Federico II

Federico II · Research Stories

Official Federico II reporting on selected M.O.D.A.L. research results. Distinct from authored commentary and independent press coverage.

Research@Unina
Ricerca@Unina · Federico II

Deep learning per capire meglio le sequenze sismiche

The university recounts M.O.D.A.L.'s PreD-NET research into induced seismicity and links the result to the paper published in Scientific Reports.

PreD-NETEarthquake researchDeep Learning
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Research Story
Federico II · Unina.it

Biosensoristica e Intelligenza Artificiale per trovare contaminazioni batteriche

An institutional report on multidisciplinary research combining biosensing and Artificial Intelligence, connected to a publication in Sensors and Actuators B.

BiosensorsArtificial Intelligence
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Research Story
Federico II · Unina.it

Progetto BIOCHIP: pubblicati i primi risultati su prestigiosa rivista

Federico II reports the BIOCHIP results on a machine-learning-enhanced biosensor for mercury detection, published in Biosensors and Bioelectronics.

BIOCHIPMercury detection
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Doctoral Network · 28 Jun 2024

Federico II protagonista della Doctoral Network TUAI

Federico II describes its role in the European MSCA Doctoral Network TUAI, including the group's research directions in federated learning, graph neural networks and language models.

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Research, explained beyond academia

Outreach complements scientific publishing by translating methods, results and their societal implications into accessible public discussion.

Explore M.O.D.A.L. research →