Statistical Challenges in Big Data & Complex Systems (CLADAG 2017 Satellite Meeting)

Statistical Challenges in Big Data & Complex Systems (CLADAG 2017 Satellite Meeting)

September 12th, 2017 at 14.00


Università degli Studi di Milano, Via Festa del Perdono n. 7

The event is free but is needed to register for organizational matters, please send an email to

Download the leaflet



The purpose of this scientific event is to take advantage of the presence in Milan of the international community of statisticians attending CLADAG 2017 Conference and to stimulate cross- discussion between the various researchers at the University of Milan who work on diversified topics related to Big Data & Complex Systems.

The Flash Talk, although academically sound, are meant for a wider audience including the Press and colleagues from other disciplines.

Problems, solutions and challenges for Big Data & Complex Systems vary upon the scientific field of study. This event is an attempt to put statisticians in connection with scientists of the many different disciplines present at the University of Milan.

A Wrap Up session will be devoted to further feedback and questions by the Press and/or colleagues.



Gianluca Vago, Rector, Università degli Studi di Milano

Salvatore Ingrassia, President, CLADAG

Stefano M. Iacus, Director, Data Science Lab UNIMI


  • Laura Perini, Dipartimento di Fisica, Some kind of Big Data and some kind of Physics
  • Alessandro Pedretti, Dipartimento di Scienze Farmaceutiche, The complexity of drug discovery
  • Ivano Eberini, Dipartimento di Scienze Farmacologiche e Biomolecolari, Multilevel description of life: from an atomistic to a systemic perspective
  • Elia Biganzoli, Dipartimento di Scienze Cliniche e di Comunità e Istituto dei Tumori, The Big Data horizon in preventive and predictive biomedicine
  • Luigi Curini, Dipartimento di Scienze Sociali e Politiche, Politics and Big Data
  • Alessandra Micheletti, Dipartimento di Scienze e politiche ambientali, When the shape makes the difference
  • Ernesto Damiani, Dipartimento di Informatica Giovanni degli Antoni, Model-based Big Data Analytics as a Service for Enterprises
  • Andrea Scala, Dipartimento di Studi Letterari, Filologici e Linguistici, Big data and linguistic research
  • Giancarlo Manzi, Dipartimento di Economia, Management e Metodi Quantitativi, Big Data and Smart Mobility
  • Paolo Fiorina, Dipartimento di Scienze Biomediche e Cliniche “L. Sacco”, Bio Big Data and Diabetes

Wrap Up & Question Time

Closing Aperitif

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