Research Topics

Financial data analysis (trading, risk) and their efficient numerical management for model estimation and simulation of complex scenarios
Network analysis and real time sentiment analysis on big data coming from social networks
Data matching between open data and experimental data for the analysis of the effectiveness of public policies or treatment effects in observational studies
Integration between traditional survey data, official statistics and “social” data from the Network in order to produce statistical welfare indicators
Robust statistics for big data

Data science is a concept to unify statistics, data analysis, mathematics, computational method, information and computer science in order to understand and analyze complex phenomenal.

The Data Science Lab is the center of the University of Milan that integrate the mathematical, statistical and computer science knowledge of its researchers in order to develop new data analysis techniques for studying complex phenomena.

Data Science Lab extracts information from data from complex systems such as those generated in financial markets by high-frequency transactions, texts generated by social network systems, biomedical and genetic data, “open data” available from public administrations and economic institutions, in general Big Data

Research Topics

TOPICS

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