M.O.D.A.L.Mathematical mOdelling & Data AnaLysisDMA · Università degli Studi di Napoli Federico II
Collaborations

Research is a network

M.O.D.A.L. connects methodological AI research with scientific disciplines, industrial systems and international research communities. Our collaborations span joint publications, European networks, research infrastructures and applied innovation.

Explore the network ↓Collaboration in action
40+organisations in the extended network
16+countries across collaborations, co-authorship and scientific activities
8industry & innovation partners
6research themes connecting the network
Research network

Who we work with depends on the question

Select a research theme to reveal the institutions connected to that part of the M.O.D.A.L. scientific ecosystem.

M.O.D.A.L.Naples · UNINA
European research network

TUAI core academic network

The Marie Skłodowska-Curie Doctoral Network links M.O.D.A.L. with a focused European academic consortium. Associated partners are intentionally not all listed here.

Silesian University of TechnologySUTUniversidad Politécnica de MadridUPMNorwegian University of Science and TechnologyNTNUUniversity of OviedoUniOviWestern Norway University of Applied SciencesHVL
Collaboration directory

Academic, research & innovation partners

Logos remain central, but each relationship is now contextualised by country and research connection.

Research themes
43 organisations shown
ENEA
Italy

ENEA

Research and demonstrator ecosystem

Digital TwinsHpcIndustry
Almawave
Italy

Almawave

Industry collaboration

AiIndustry
NetCom Group
Italy

NetCom Group

Industry collaboration

IndustryApplications
CONFORM
Italy

CONFORM

Education and innovation partner

AiIndustry
K-City
Italy

K-City

Urban mobility and Digital Twin collaboration

Digital TwinsApplications
TPSFACTORY
Italy

TPS Factory

FLINT industrial partner · sustainable federated AI

FederatedDigital TwinsIndustry
KPMG
Italy

KPMG

Industry collaboration

AiIndustry
Dutch Polymer Institute official DPI logo
Netherlands

Dutch Polymer Institute

Research funding and industrial research collaboration

AiIndustryApplications
Global reach

International by construction

Beyond the directory above, M.O.D.A.L. participates in co-authorship, editorial and scientific activities across a wider international network.

ItalySpainPolandNorwaySwedenFranceUnited KingdomUnited StatesChinaSouth KoreaTaiwanIranNetherlandsIrelandCanadaSingapore
Collaboration in action

Networks that produce research

A few examples of how collaborations translate into methodological advances and real-world results.

UNINA × UPM

DIVAS-FL

Generative voice editing and Federated Learning for privacy-aware consumer devices.

IEEE Transactions on Consumer Electronics · 2026 ↗ UNINA × SISSA × CU Boulder

Scientific Machine Learning through PINNs

A landmark collaboration connecting numerical analysis, physics-informed learning and modern AI.

Journal of Scientific Computing ↗ UNINA × TPS Factory

SAGE

Sustainability-aware client selection for greener Federated Learning in IoT and edge environments.

Applied Energy · 2026 ↗ UNINA × K-City

Urban Digital Twin

Parking management and mobility forecasting through data fusion, prediction and what-if scenarios.

Nature Communications · 2025 ↗
Work with M.O.D.A.L.

From a shared research question to a joint result

We collaborate with universities, research organisations, companies and public stakeholders on advanced AI, scientific computing and data-driven systems.

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