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Topics covered will include:
- Data Science
- Artificial Intelligence
- Cybersecurity
- Social networks Analysis
- Network Science
- Generative AI
- Trustworthy AI
- Explainable AI
- Neural Networks
- Machine/Deep Learning
Features of the Summer School:
- Keynotes
- Interactive lectures
- Hands-on group projects
- Networking opportunities with experts and peers
Who Can Apply:
The summer school is open to Postgraduate Students, PhD Students, and Researchers interested in Artificial Intelligence.
Deadlines:
- Early Registration: Jul 10, 2024
- Late Registration: Aug 10, 2024
Costs:
There are different participation fees for different solutions:
- Solution S1: € 1050
- Solution S2: € 800
- Solution S3: € 550
These fees are valid for early registration.
Registration costs € 150 more for late registration.
The registration fee includes:
- Attendance to all summer school talks and sessions
- Meals
- Participation to three social events
- Lodging (Single - S1, Double - S2, No Room - S3)
- Attendance certificate
For more information, please visit the summer school website https://ai4securesociety.sobigdata.it/ or contact the organizers at carmela.comito@icar.cnr.it and maurizio.tesconi@iit.cnr.it
General Chairs
- Carmela Comito (ICAR-CNR)
- Maurizio Tesconi (IIT-CNR)
- Giuseppe Manco (ICAR-CNR)
Organizing Committee
- Serena Tardelli (IIT-CNR)
- Angelica Liguori (ICAR-CNR)
- Beatrice Rapisarda (ISTI-CNR)
- Marco Avvenuti (Unipi)
- Massimo Guarascio (ICAR-CNR)
The event "Summer School on Artificial Intelligence for a Secure Society" was organized as part of the SoBigData.it project's offerings aimed at training new users and communities of the research infrastructure (SoBigData.eu).
“SoBigData.it receives funding from European Union – NextGenerationEU – National Recovery and Resilience Plan (Piano Nazionale di Ripresa e Resilienza, PNRR) – Project: “SoBigData.it – Strengthening the Italian RI for Social Mining and Big Data Analytics” – Prot. IR0000013 – Avviso n. 3264 del 28/12/2021.”
The event is also supported by the project SERICS (PE00000014) under the NRRP MUR program funded by the EU - NGEU.
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