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

Report
Authors:Wright, Brian, DS-Faculty AffairsUniversity of Virginia ORCID icon orcid.org/0000-0002-7836-8273Guadagni, GianlucaUniversity of Virginia Van Horn, JohnUniversity of Virginia Brown, Don, DS-ResearchUniversity of Virginia ORCID icon orcid.org/0000-0002-9140-2632de Guida, SibillaIMT Scuola Alti Studi Garlaschelli, DiegoIMT Scuola Alti Studi Tribastone, MircoIMT Scuola Alti Studi Riccaboni, MassimoIMT Scuola Alti Studi Cecchetti, LucaIMT Scuola Alti Studi Paggi, MarcoIMT Scuola Alti Studi Gili, TommasoIMT Scuola Alti Studi Setti, FrancescaIMT Scuola Alti Studi Elce, ValentinaIMT Scuola Alti Studi Federici, AlessandraIMT Scuola Alti Studi Ricciardi, EmilianoIMT Scuola Alti Studi
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.

Keywords:
Artificial Intelligence
Rights:
All rights reserved (no additional license for public reuse)
Language:
English
Publisher:
University of Virginia
Published Date:
July 08, 2024