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Report on the Conjoint Workshop: IMT Scuola Alti Studi and the University of Virginia School of Data Science

dc.contributor.authorTribastone, Mirco
dc.contributor.authorWright, Brian
dc.contributor.authorCecchetti, Luca
dc.contributor.authorde Guida, Sibilla
dc.contributor.authorGili, Tommaso
dc.contributor.authorSetti, Francesca
dc.contributor.authorBrown, Don
dc.contributor.authorVan Horn, John
dc.contributor.authorRiccaboni, Massimo
dc.contributor.authorPaggi, Marco
dc.contributor.authorFederici, Alessandra
dc.contributor.authorRicciardi, Emiliano
dc.contributor.authorElce, Valentina
dc.contributor.authorGarlaschelli, Diego
dc.contributor.authorGuadagni, Gianluca
dc.date.accessioned2026-01-22T19:23:33Z
dc.date.issued2024-07-08
dc.descriptionOriginal submission date: 2025-03-17T20:37:27Z
dc.description.abstractOn May 23, 2024, the IMT School of Advanced Study and the University of Virginia School of Data Science co-hosted a workshop at the Cappella Guinigi in the San Francesco Complex, Lucca, Italy. The event aimed to highlight the research areas of both institutions, build relationships, and facilitate faculty and graduate student visits, laying the groundwork for future collaborations. This initiative follows a memorandum of agreement signed in 2023 to support mutually beneficial projects. The workshop featured fourteen intensive research talks covering AI and data science applications in education, security, economics, and neuroscience. Highlights included discussions on generative models for intelligent assistants, data-driven research in human-machine interaction, network science, supervised contrastive learning for time series classification, systems security modeling, and advanced AI applications in neuroscience. Key areas identified for future collaboration include digital twins, dynamical systems, and the application of advanced AI methods in neuroscience. This workshop exemplifies the potential of international academic partnerships to drive scientific discovery and enrich educational experiences.
dc.identifierjw827b869
dc.identifier.doi10.18130/y50y-ks25
dc.identifier.urihttps://doi.org/10.18130/y50y-ks25
dc.identifier.urihttps://libraopen.library.virginia.edu/handle/item/8490
dc.languageEnglish
dc.language.isoen
dc.publisherUniversity of Virginia
dc.rightsAll rights reserved (no additional license for public reuse)
dc.subjectArtificial Intelligence
dc.titleReport on the Conjoint Workshop: IMT Scuola Alti Studi and the University of Virginia School of Data Science
dc.typeTechnical Report
dspace.entity.typePublication
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