Manzi Giancarlo
Associate Professor
SSD
SECS-S/01 - STATISTICS
Competition sector
13/D1 - STATISTICS
Research fields and competencies
Vocational Master Coordinator
Master in Data Science for Economics, business and finance
Contacts
Workplace
Office phone number
Additional phone numbers
University email address
Office hours
By appointment only, via Teams
Office
Room 37, 3rd Floor (due to sanitary emergency office hours in person are suspended)
Teaching
A.Y. 2020/2021
A.Y. 2019/2020
A.Y. 2017/2018
A.Y. 2016/2017
A.Y. 2015/2016
Research
Publications
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Are health indicators able to describe the ability to cope of Health Systems with COVID-19 epidemic? / S. Castaldi, E. Luconi, B.A. Rivieccio, P. Boracchi, G. Marano, E. Pariani, L. Romano', F. Auxilia, F. Nicolussi, A. Micheletti, G. Manzi, S. Salini, M. Galli, E.M. Biganzoli. - (2020 Jun 16).
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Modeling provincial Covid-19 epidemic data in Italy using an adjusted time-dependent SIRD model / L. Ferrari, G. Gerardi, G. Manzi, A. Micheletti, F. Nicolussi, E. Biganzoli, S. Salini. - (2020 Jun 02).
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Analysis of Sustainability Propensity of Bike-Sharing Customers Using Partially Ordered Sets Methodology / P. Maranzano, R. Ascari, P.M. Chiodini, G. Manzi. - In: SOCIAL INDICATORS RESEARCH. - ISSN 0303-8300. - (2020 Apr 15). [Epub ahead of print]
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Statistical solutions to improving bike-sharing systems / S. Salini, G. Manzi - In: 3th International Conference on Computational and Financial Econometrics (CFE 2019) and 12th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics)[s.l] : Working Group on Computational and Methodological Statistics (CMStatistics 2019): Ecosta - econometrics and statistics., 2019 Dec. - ISBN 9789963222780. (( Intervento presentato al 12. convegno ERCIM2019 - CMStatistics 2019 tenutosi a London nel 2019.
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Modeling Cyclists’ Itinerary Choices: Evidence from a Docking Station-Based Bike-Sharing System = Un modello per gli itinerari dei ciclisti: risultati da un bike-sharing a stazioni fisse / S. Gaito, G. Manzi, G. Saibene, S. Salini, M. Zignani - In: Smart Statistics for Smart Applications / [a cura di] G. Arbia, S. Peluso, A. Pini, G. Rivellini. - [s.l] : Pearson, 2019 Jun. - ISBN 9788891915108. - pp. 889-894 (( convegno Smart Statistics for Smart Applications tenutosi a Milano nel 2019.