DiSIA and Data Science
In contemporary societies characterised by a continuous production of complex and unstructured data, known as big-data, Data Science is becoming a fundamental discipline for extracting information, providing answers to pertinent research questions in many fields and fostering innovation.
DiSIA organises its activities - research, teaching and training, and transmission of knowledge and innovation - preserving and enhancing the specific characteristics of the subjects it covers. Significant research collaborations at national and international level represent a particular dimension of its activities. Read the article in the 19 December 2019 edition of "Il Sole 24 Ore".
The research activity of DiSIA develops in various thematic areas, focusing, in each of them, particularly on the implementation of methodological aspects and innovative data management to provide an applied research contribution in strategic sectors, such as public health, demographics and social sciences, economics and finance, and industry.
In terms of teaching, DiSIA is the reference department for the master's degree course in Data Science, which includes a specific curriculum dedicated to the analysis of complex structured data and the statistical aspects of Data Science. A Data Science scholarship has been set up as part of the current consortium PhD in Mathematics, Computer Science and Statistics, which is already strongly interdisciplinary. Some members of DiSIA are promoting the master's degree in Computer Science (LM18) and carrying out teaching activities within the Data Science Curriculum, which focuses on computational aspects of data analysis.
DiSIA implements various activities related to the so-called third mission, constantly working to promote the direct application, development and use of knowledge to contribute to the social, cultural and economic development of society, also in the field of Data Science.
DiSIA is the promoter of the Florence Center for Data Science, the interdepartmental research centre, which brings together researchers working in the field of Data Science at the University of Florence, combining statistical, economic, computer science and information engineering methods and skills, applying them according to the specificities of the different application contexts.
Last update
15.06.2021