First Workshop of the Florence Center for Data Science



First Workshop of the Florence Center for Data Science

Florence, June 10 2019
Auditorium B – Viale Morgagni 40



Workshop program

09:45-09:55 Welcoming address
                      Marco Bindi (University of Florence) Pro-rettore alla Ricerca
                      Monica Barni (University for Foreigners of Siena) Vicepresidente Regione Toscana
                      Monica Pratesi (University of Pisa) Presidente della SIS
09:55-10:05 Introducing the Florence Center for Data Science (Fabrizia Mealli)

10:05-10:40 Francesca Dominici (Harvard University)
                      Particulate Solution: Data Science in the Fight to Stop Air Pollution and Climate Change
10:40-10:55 Annibale Biggeri (University of Florence)
                     Irreducible Complexities in Medical Research: Challenges for Study Design within the Data Science Framework
10:55-11:10 Marco Sciandrone (University of Florence)
                     Optimization and Machine Learning: a Marriage of Love or of Interest?

11:10-11:20 Break

11:20-11:55 Paolo Frasconi (University of Florence)
                      Full-Band Music Genres Interpolations with Wasserstein Autoencoders
11:55-12:10 Raffaele Guetto (University of Florence)
                   Socio-economic data science in the digital age
12:10-12:25 Michele Boreale (University of Florence)
                     Data Science at DiSIA: the Computer Science Perspective
12:25-13:00 Donato Malerba (University of Bari Aldo Moro)
                   Towards a Big Data Science

13:00-14:00 Lunch Break

14:00-14:35 Alessandra Sestini (University of Florence)
                   Shape Reconstruction from Scattered Data
14:35-14:50 Marco Maggesi (University of Florence)
                   Theorems as Data
14:50-15:05 Cristiano Ciappei (University of Florence)
                   Teaching Digital Science to Managers: the Five-Year Experience of Master in Big Bata, Analytics and Technology for Management

15:05-15:15 Break

15:15-15:30 Anna Gottard (University of Florence)
                   Data Science Challenges for Statistics: the Role of Statistical and Causal Models
15:30-15:45 Tommaso Zoppi (University of Florence)
                   Evaluating Algorithms for Anomaly-Based Intrusion Detection
15:45-16:20 Giovanni Parmigiani (Harvard University, Dana-Farber Cancer Institute)
                   Replicability Challenges in Machine Learning and Prediction
16:45-17:00 Closing Remarks