Flaminia MUSELLA

Biography

Flaminia Musella - Associate Professor in Statistics at Education Department, Roma Tre University. Her research interests are in multivariate statistical techniques; in particular, she is interested in methodological and computational aspects of Bayesian networks for the analysis of the dependencies between ordinal and mixed nominal-ordinal variables. In the Ph.D. thesis, she worked on a new algorithm for learning the independence structures between categorical variables. She proposed a new strategy for learning dependencies structures among categorical data. During her stay at the University of Oxford she collaborated on the creation of the gRim package with David Edwards and Søren Højsgaard. She dealt with constraint-based algorithms for non-normal data with the help of copula models. In the applied field, she is focusing on the following. Since recently, she is occupying of gender data for modelling social and economics gender gap. She is involved in research project with Roma Tre University, Bicocca University and Poligrafico dello Stato for highlighting gender indicators useful for producing the gender report and the gender action plan. Moreover, she was involved in some consulting activities of gender reporting for private companies. She is interested in education field with a focus on the effects of distance learning for educational outcomes by accounting for emotional impacts on students and in the analysis of the diffusion of digital skills for teachers at schools and University. She has worked on Bayesian network models for the analysis of energy markets. She dealt with multivariate statistical methods for the study of economic-environmental phenomena starting from complex data. In particular, she focused on the study of conflicts between stakeholders for the control and management of resources in fragile areas such as coastal areas. Since recently, she is occupying of analysing the changeset in the usage of digital payment in the post-Covid era. In the field of managerial applications, she is interested in the service quality measurement and in the monitoring of public services provided on-line or off-line She worked on the quantitative management of complex business problems integrating different quality aspects through Bayesian Object-Oriented networks. She is member of projects co-funded by European Commission within the Erasmus + Programme (https://decodeproject.eu/ ; http://ecolhe.eu/ ). She is in the teaching staff of Tech4Goods PhD Programme. She has been programme leader of International Business Administration degree programme.