Workshop "Physics of Machine Learning" for Physics of Data

Statistical Artificial Intelligence or Machine Learning is deeply transforming our society and having a relevant impact in several fields including: 1) in the sciences there is growing interest in the predictive ability of models based on the analysis of big data; 2) In the economic sphere, digital transformation (i.e. the process of integrating digital technologies into all aspects of business), is leading to substantial changes at the level of technology and value generation; 3) in social life also promoting customs, habits, and behavioral patterns.

A big issue is that today some of the most accurate models in the Machine Learning world are what we call a ‘black box’ model as they lack explicability and interpretability. As Physicists, this is one of the most exciting challenges and that is why we will devote the second Physics of Data Workshop on this topic, inviting world class experts and young researchers in this field,  providing an overview of the possible open problems and research paths in this field.

Food and accommodation in Asiago will be covered thanks to the UNIPD grant in teaching innovation. Limited number of places available, preferences will be given to first year Physics of Data students. A bus leaving from Padova to Asiago will be organized  and freely available to students and speakers.

Organizers: S. Suweis, M. Baiesi, M. De Domenico, M. Allegra,  and M. Zanetti

Workshop organizational support: Sonia Gelain


22 - 24September 2022


Asiago Astrophysical Observatory, Asiago Italy


To be announced

Registration form

As attendee safety is among our primary concerns, we are carefully monitoring national and local public health guidelines and will respond accordingly. Following Italian and UNIPD rules (at this time, they might change), to attend the workshop you need the Green Pass obtained through vaccination (not by swap).

Registration closed, soon participants will be contacted for the result of the selection procedure.


Thursday 22 - afternoon

14.45 – 15.00 Introduction

15.00 – 16.00 senior 1

16.00 – 16.30 junior 1

16.30 – 17.00 Break/discussion

17.00 – 18.00 senior 2

Friday 23

9.30 – 10.30 senior 3

10.30 – 11.00 junior 2

11.00 – 11.30 Break/discussion

11.30 – 12.30 senior 4


12.30 – 15.00 lunch


15.00 – 16.00 senior 5

16.00 – 16.30 junior 3

16.30 – 17.00 Break/discussion

17.00 – 18.00 senior 6

Saturday 24

9.30 – 10.30 senior 7

10.30 – 11.00 junior 4

11.00 – 11.30 Break/discussion

11.30 – 12.30 senior 8