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DataSLO - Summer School on Data Science, Learning and Optimization

Norcia (Italy), 23rd - 27th June 2025

The Summer School DataSLO will explore key topics related to the core methodologies that drive Data Science, Machine Learning, and Computational Optimization – the three foundational pillars of modern Artificial Intelligence.

The program will include lectures led by internationally recognized researchers, providing a balanced mix of theoretical insights and practical applications.

A roundtable discussion open to the audience will also take place on the final day.

Beyond the technical program, the Summer School will be an opportunity for: networking with the lecturers and other students, improving general research work skills, and enjoying a pleasant stay in Norcia!

  • Place: on site - Norcia (Perugia)
  • Date: from June 23rd (Monday) until June 27th (Friday), 2025
  • Lesson timetable: 9:00 – 12:00 - 15:00–18:00
  • Duration: 35 hours
  • Participants: 25 maximum
  • Cost: free registration

The course is intended for a maximum of 25 graduates interested in the topics of Data Science, Machine Learning, and Computational Optimization. Of these, 15 are selected by partner universities (as specified in the call for admission), while other candidates can apply by following the instructions on this page.

Candidates must also demonstrate scientific interest in the topics covered in the course through a motivation letter to be attached to the application.

 

Necessary requirements:

  • Bachelor’s Degree
  • Knowledge of the English language at least B1 level according to the official CEFR guidelines

Additional Educational Qualifications (not necessary), in order of importance:

  • PhD
  • Enrollment in a PhD Course
  • Master's Degree


The following priority criteria, in order of importance, will be considered for admission:

  • residence in the area of central Italy earthquake crater of 2016, as identified in the Ordinance of the Extraordinary Commissioner of the Government no. 101 of 30 April 2020 and indicated in art. 7 of the Call for application
  • chronological order of the applications

Carefully read the call for admission. The application for admission to the course must be submitted exclusively through the online procedure, by 1:00 pm on April 24, 2025.

Il programma include le seguenti lezioni e tutorial, con il calendario definitivo che sarà annunciato.

  • Padroneggiare la pipeline della Data Science: dall'acquisizione agli insight (5 h)
  • Lavoro di squadra su temi di Data Science (2 h)
  • Euristiche per l’ottimizzazione continua – Progettazione, replicabilità e comportamento (5 h)
  • Lavoro di squadra su temi di Ottimizzazione Continua (2 h)
  • Metaeuristiche insieme a modelli neurali per l’ottimizzazione combinatoria (5 h)
  • Lavoro di squadra su temi di Ottimizzazione Combinatoria (2 h)
  • AnyToVec – Apprendimento di rappresentazioni vettoriali (5 h)
  • Lavoro di squadra su argomenti di Apprendimento Automatico (2 h)
  • Studi di caso e discussione di progetti (1 h)
  • Scoperta causale da serie temporali (5 h)
  • Tavola rotonda sulle principali tendenze e sulle interazioni tra Data Science, Apprendimento e Ottimizzazione (1 h)

There will be five 5-hour courses held over five days, scheduled in the mornings and early afternoons.

Course titleLecturer

Metaheuristics alongside Neural Models for Combinatorial Optimization   

Josu Ceberio 

(University of the Basque Country, Spain)    

Heuristics for Continuous Optimisation – Design, Replicability & Behaviour 

Fabio Caraffini 

(Swansea University, UK)

Mastering the Data Science Pipeline: from Acquisition to Insights

Paolo Mengoni 

(Hong Kong Baptist University, Hong Kong)

AnyToVec – Learning Vector Representations 

Alfredo Milani 

(Link Campus University, Italy)

Causal Discovery from Time Series 

Maurizio Porfiri 

(New York University, USA)

 
   
    
   
   

I partecipanti usufruiranno gratuitamente di:

  • pasti (pranzi e cene) durante il Corso (dal 23 al 27 giugno 2025)
  • alloggio durante il Corso (dal 22 al 27 giugno 2025)
  • viaggio e trasferimenti
  • escursione guidata


Si prevede che i partecipanti arrivino a Perugia domenica 22 giugno.

Un autobus navetta li porterà da Perugia a Norcia, con il viaggio di ritorno previsto per sabato 28 giugno.

Presto saranno comunicati i dettagli sull’orario di partenza dell’autobus e sul punto d’incontro.

Scientific Director
Valentino Santucci (UniStraPG - Course Coordinator)

Scientific Committee
Valentino Santucci (UniStraPg)
Paolo Mengoni (Hong Kong Baptist University)

The DataSLO Summer School will be held in the beautiful historic town of Norcia (Umbria region, central Italy), known for its stunning landscapes and rich heritage. An excursion will take place on Saturday.

Norcia

Norcia

Castelluccio di Norcia

Castelluccio di Norcia

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