Valerio Grossi

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10 Nov 2016

Valerio Grossi

Research fellow at the Department of Computer Science, University of Pisa


Valerio Grossi holds a Ph.D. in Computer Science from the University of Pisa and he is currently a research fellow at the Department of Computer Science, University of Pisa. He has been a researcher at Department of Pure and Applied Mathematics, University of Padova.


His research interests focus on the analysis of massive and complex data including mining data streams, ontology-driven mining, business intelligence and knowledge discovery systems. He took part in several European research projects as a member of the UNIPI research group, among which figure BRITE (Business Register Interoperability throughout Europe), MUSING (MUlti- industry, Semantic-based next generation business INtelliGence) and ICON (Inductive Constraint Programming), where he focused on the development of brand new data mining and knowledge discovery applications and on the research for the development of new business intelligence approaches.


When: Day 1 - 14th November, Session 6: When I grow up I want to become a Data Curator, 16:30- 17:30

Educating Data Scientists: the SoBigData master experience

Abstract: The data scientists is one of the most required  professionals and the Economist defines this job "the sexiest job of the 21st century". The Master in Big Data aims at training "data scientists", professionals with multidisciplinary skills useful to obtain and process big data and extract knowledge to support decision-making and the development of innovative services, knowing also how to manage the ethical and legal implications deriving from the use of these services. 

The challenge of training data scientists is therefore at the intersection of technology, analytical, narrative and ethical skills, and thus it must integrate knowledge from different disciplines: data mining and machine learning, data analysis and visualization, complex systems science and networks, computational sociology and social simulation, ethics, data journalism and story-telling.