Topical Training

Fellows must complete at least 6 credits of Topical Trainings. Lecture-based and Breakout sessions must be selected together. These activities are compulsory; additional participation is encouraged.

Topical Training #1: Big Data

Plenary Session on Big Data

Date:  6 February 2026

Coordinated by: Prof. Stefano Lodi

Doctoral Credits: 1

Total Hours: 6
Assessment Method: Certified partification and active discussion in class

Breakout TA1 follow-up session on Topical Training #1: Big Data

Date: 12 March 2026 at 9 am
Coordinated by: Roberta Rizzo
Total Hours: 3
Doctoral Credits: 0.5
Assessment Method: reaction notes, presentation and class participation

Breakout TA2 follow-up session on Topical Training #1: Big Data

Date: 19 March 2026 at 12am
Coordinated by: Prof Stefano Lodi
Total Hours: 3
Doctoral Credits: 0.5
Assessment Method: reaction notes, presentation and class participation

Breakout TA4 follow-up session on Topical Training #1: Big Data

Date: 10 March 2026 at 4pm
Coordinated by: Prof. Luigi Rovati
Total Hours: 3
Doctoral Credits: 0.5
Assessment Method: reaction notes, presentation and class participation

Breakout TA5 follow-up session on Topical Training #1: Big Data

Date: 22 April 2026 at 4:30 pm.
Coordinated by: Prof. Daniele Bonacorsi
Total Hours: 3
Doctoral Credits: 0.5
Assessment Method: reaction notes, presentation and class participation

Breakout Ta6 follow-up session on Topical Training #1: Big Data

Date: 16 March 2026 at 2pm
Coordinated by: Prof. Paolo Ajmone
Total Hours: 3
Doctoral Credits: 0.5
Assessment Method: reaction notes, presentation and class participation

Breakout TA7 follow-up session on Topical Training #1: Big Data

Date: 11 March 2026 at 3pm
Coordinated by: Prof. Daniele Bonacorsi
Total Hours: 3
Doctoral Credits: 0.5
Assessment Method: reaction notes, presentation and class participation

Topical Training #2: AI For Science and Science For AI

Plenary Session on AI For Science and Science For AI

Date: 15 July 2026

Coordinated by: Prof. Daniele Bonacorsi
Total Hours: 6
Doctoral Credits: 1
Assessment Method: Certified partification and active discussion in class

Breakout TA1 follow-up session on Topical Training #2: AI For Science and Science For AI

Date: 2 September 2026 at 2 pm
Coordinated by: Prof. Alessio Lodola
Total Hours: 3
Doctoral Credits: 0.5
Assessment Method: reaction notes, presentation and class participation

Breakout TA2 follow-up session on Topical Training #2: AI For Science and Science For AI

Date: TBD
Coordinated by: Prof. Stefano Lodi
Total Hours: 3
Doctoral Credits: 0.5
Assessment Method: reaction notes, presentation and class participation

Breakout TA4 follow-up session on Topical Training #2: AI For Science and Science For AI

Date: 2 October 2026 at 3pm
Coordinated by: Prof. Luigi Rovati
Total Hours: 3
Doctoral Credits: 0.5
Assessment Method: reaction notes, presentation and class participation

Breakout TA5 follow-up session on Topical Training #2: AI For Science and Science For AI

Date: 21 September 2026 at 2 pm.
Coordinated by: Prof. Nicoletta Matera
Total Hours: 3
Doctoral Credits: 0.5
Assessment Method: reaction notes, presentation and class participation

Breakout TA6 follow-up session on Topical Training #2: AI For Science and Science For AI

Date: 30 September 2026 at 10am
Coordinated by: Prof. Riccardo Negrini
Total Hours: 3
Doctoral Credits: 0.5
Assessment Method: reaction notes, presentation and class participation

Breakout TA7 follow-up session on Topical Training #2: AI For Science and Science For AI

Date: 28 September 2026 at 10am
Coordinated by: Prof. Gabriele Sicuro
Total Hours: 3
Doctoral Credits: 0.5
Assessment Method: reaction notes, presentation and class participation

Topical Training #3: Humanistic AI

Plenary Session on Humanistic AI

 Date:16 December 2026

Coordinated by: Prof. Stefano Lodi (TBC)
Total Hours: 6
Doctoral Credits: 1
Assessment Method: Certified participation and active discussion in class

 

 

Breakout (per TA) follow-up session on Topical Training #3 - TBD

Topical Training #4: E-Infrastructures, Digital Twins, Explainability and Reproducibility in Modern Research

Plenary Session on E-Infrastructures, Digital Twins, Explainability and Reproducibility in Modern Research

Date: January 2027

Coordinated by: TBD

Total Hours: 6

Doctoral Credits: 1

Assessment Method: Certified participation and active discussion in class

 

Breakout (per TA) follow-up session on Topical Training #4 - TBD

Topical Training #5 Evolution in Programming Techniques

Planary Session on Evolution in Programming Techniques

Date:  July 2027

Coordinated by: TBD
Total Hours: 6
Doctoral Credits: 1
Assessment Method: Certified participation and active discussion in class

Breakout (per TA) follow-up session on Topical Training #5 - TBD

Topical Training #6: Green and Sustainable Computing

Planary Session on Green and Sustainable Computing

Date: November 2027

Coordinated by: TBD
Total Hours: 6
Doctoral Credits: 1
Assessment Method: Certified participation and active discussion in class

Breakout (per TA) follow-up session on Topical Training #6 - TBD

Topical Training #7: Responsible Data Handling, Dual-Use and Research Integrity

Plenary Session on Responsible Data Handling, Dual-Use and Research Integrity

Data: January 2028

Coordinated by: TBD
Total Hours: 6
Doctoral Credits: 1
Assessment Method: Certified participation and active discussion in class

Breakout (per TA) follow-up session on Topical Training #7 - TBD