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Publication: Report on the Conjoint Workshop: IMT Scuola Alti Studi and the University of Virginia School of Data Science
| dc.contributor.author | Tribastone, Mirco | |
| dc.contributor.author | Wright, Brian | |
| dc.contributor.author | Cecchetti, Luca | |
| dc.contributor.author | de Guida, Sibilla | |
| dc.contributor.author | Gili, Tommaso | |
| dc.contributor.author | Setti, Francesca | |
| dc.contributor.author | Brown, Don | |
| dc.contributor.author | Van Horn, John | |
| dc.contributor.author | Riccaboni, Massimo | |
| dc.contributor.author | Paggi, Marco | |
| dc.contributor.author | Federici, Alessandra | |
| dc.contributor.author | Ricciardi, Emiliano | |
| dc.contributor.author | Elce, Valentina | |
| dc.contributor.author | Garlaschelli, Diego | |
| dc.contributor.author | Guadagni, Gianluca | |
| dc.date.accessioned | 2026-01-22T19:23:33Z | |
| dc.date.issued | 2024-07-08 | |
| dc.description | Original submission date: 2025-03-17T20:37:27Z | |
| dc.description.abstract | On 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.identifier | jw827b869 | |
| dc.identifier.doi | 10.18130/y50y-ks25 | |
| dc.identifier.uri | https://doi.org/10.18130/y50y-ks25 | |
| dc.identifier.uri | https://libraopen.library.virginia.edu/handle/item/8490 | |
| dc.language | English | |
| dc.language.iso | en | |
| dc.publisher | University of Virginia | |
| dc.rights | All rights reserved (no additional license for public reuse) | |
| dc.subject | Artificial Intelligence | |
| dc.title | Report on the Conjoint Workshop: IMT Scuola Alti Studi and the University of Virginia School of Data Science | |
| dc.type | Technical Report | |
| dspace.entity.type | Publication | |
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