Paola Cerchiello is Associate Professor of Statistics at the Department of Economics and Management of the University of Pavia. She got BS in Economics at the University of Pavia in 2002 (degree with Honors), Degree IUSS (Scuola Universitaria Superiore Pavia) in 2002 and PhD in Statistics, University Milan-Bicocca, 2006. She teaches Basics of Coding and Big Data Analysis within Master Degree in International Business and Management (MIBE) at Unipv, Senior Data Scientist at Fintech Lab where she carries out research and consulting projects for leading institutions such as the European Union, the Italian Ministry of Research, Cariplo Foundation, the Italian Banking Association, Intesa San Paolo, Mediolanum, Credito Valtellinese, Istituto Credito Sportivo, KPMG, Mediaset, SAS Institute, Sky. She is member of research groups on Big Data at the Bank of Italy and at the Deutche Bundesbank. Her research activity is mainly devoted to the study of statistical models for unstructured and complex data in economics and finance. From an applied viewpoint, she focuses on text data analysis, systemic risk, reputational risk, initial coin offerings, cyber risk, sentiment analysis and deep learning. She has Published around 50 papers in scientific international journals with an H-index of 14 (calculated by Google scholar).

Arianna Agosto is Assistant Professor in Statistics (Ricercatore a Tempo Determinato tipo A) at the Department of Economics and Management of University of Pavia. She got Master Degree in Finance and Risk Management at University of Parma in 2009 (degree with Honors) and PhD in Statistics, Department of Statistics, University of Bologna, in 2014. She is Data Scientist at the Statistical Laboratory of University of Pavia, Department of Economics and Management, which carries out research projects to manage risks and increase sustainability of technological innovation in finance. Her main research topics concern statistical and econometric models for finance, credit risk, systemic risk and contagion. She also has professional experience in bank risk management.

Silvia Osmetti is Associate Professor in Statistics, Faculty of Economics, Università Cattolica del Sacro Cuore in Milan. The prevalent teaching activity has been held at the Università Cattolica del Sacro Cuore, where she has been lecturer of Statistics and Statistical learning. She deals with Optimal design for discrimination problem, Dependence model and copula function, pair-copulae decomposition, clustering for ordinal data, statistical models for rare event, Credit risk and systemic risk modelling, Statistical methods for cyber risk and Data mining.

Alessandro Spelta is a researcher and data analyst. Graduated at the University of Pavia. His research area concerns statistics on economic behavior such as search and information gathering, communication, decision-making, and microlevel transactions.