{"id":1514,"date":"2019-05-27T10:15:33","date_gmt":"2019-05-27T08:15:33","guid":{"rendered":"http:\/\/datascience.unifi.it\/?p=1514"},"modified":"2025-11-27T17:13:03","modified_gmt":"2025-11-27T16:13:03","slug":"fds-first-meeting","status":"publish","type":"post","link":"https:\/\/datascience.unifi.it\/index.php\/2019\/05\/27\/fds-first-meeting\/","title":{"rendered":"First Workshop of the Florence Center for Data Science"},"content":{"rendered":"

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First Workshop of the Florence Center for Data Science<\/strong><\/span><\/h2>\n

Florence, June 10 2019
\nAuditorium B \u2013 Viale Morgagni 40<\/strong><\/span><\/h3>\n

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Workshop program<\/strong><\/span><\/h5>\n

09:45-09:55 Welcoming address<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Marco Bindi (University of Florence) Pro-rettore alla Ricerca<\/em>
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Monica Barni (University for Foreigners of Siena) Vicepresidente Regione Toscana<\/em>
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Monica Pratesi (University of Pisa) Presidente della SIS<\/em>
\n 09:55-10:05 Introducing the Florence Center for Data Science (Fabrizia Mealli)<\/span><\/span><\/p>\n

10:05-10:40 Francesca Dominici<\/a> (Harvard University)<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0<\/span>Particulate Solution: Data Science in the Fight to Stop Air Pollution and Climate Change<\/em><\/span>
\n 10:40-10:55 Annibale Biggeri (University of Florence)<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Irreducible Complexities in Medical Research: Challenges for Study Design within the Data Science Framework<\/span><\/em>
\n 10:55-11:10 Marco Sciandrone (University of Florence)<\/span>
\n \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Optimization and Machine Learning: a Marriage of Love or of Interest?<\/span><\/em><\/p>\n

11:10-11:20 Break<\/span><\/p>\n

11:20-11:55 Paolo Frasconi (University of Florence)<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Full-Band\u00a0Music\u00a0Genres\u00a0Interpolations\u00a0with\u00a0Wasserstein\u00a0Autoencoders<\/span><\/em>
\n 11:55-12:10 Raffaele Guetto (University of Florence)<\/span>
\n \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Socio-economic\u00a0data\u00a0science\u00a0in\u00a0the\u00a0digital\u00a0age<\/span><\/em>
\n 12:10-12:25 Michele Boreale (University of Florence)<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Data Science at DiSIA: the Computer Science Perspective<\/span><\/em>
\n 12:25-13:00 Donato Malerba<\/a> (University of Bari Aldo Moro)<\/span>
\n \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Towards a Big Data Science<\/span><\/em><\/p>\n

13:00-14:00 Lunch Break<\/span><\/p>\n

14:00-14:35 Alessandra Sestini (University of Florence)<\/span>
\n \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Shape Reconstruction\u00a0from\u00a0Scattered\u00a0Data<\/span><\/em>
\n 14:35-14:50 Marco Maggesi (University of Florence)<\/span>
\n \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Theorems as Data<\/span><\/em>
\n 14:50-15:05 Cristiano Ciappei (University of Florence)<\/span>
\n \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Teaching Digital Science to Managers: the Five-Year Experience of Master in Big Bata, Analytics and Technology for Management<\/span><\/em><\/p>\n

15:05-15:15 Break<\/span><\/p>\n

15:15-15:30 Anna Gottard (University of Florence)<\/span>
\n \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Data Science Challenges for Statistics:\u00a0the Role of Statistical and Causal Models<\/em><\/span>
\n 15:30-15:45 Tommaso Zoppi (University of Florence)<\/span>
\n \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Evaluating Algorithms for Anomaly-Based Intrusion Detection<\/em><\/span>
\n 15:45-16:20 Giovanni Parmigiani<\/a> (Harvard University, Dana-Farber Cancer Institute)<\/span>
\n \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Replicability Challenges in Machine Learning and Prediction<\/em><\/span>
\n 16:45-17:00 Closing Remarks<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

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