Naples, September 13-15, 2023
The Advanced Statistical Modelling for Fintech, Financial Inclusion and Inequality (AFFINE) training school is a three-day programme that equips participants with the required quantitative and analytical skills, including coding and programming skills, needed to perform analysis in the FinTech or financial services industry, especially analyses of complex data and latent traits such as knowledge of financial instruments and financial inclusion.
The School is designed for COST members, steakeholders, reasearchers, PhD students, and possibly brilliant MSc graduates / final-year students interested in Statistics, Probability, Computer Science, Applied Mathematics, and related areas.
The aim of the Training School AFFINE is to establish a track of high level courses on advanced and cutting-edge topics in Statistics and Probability with application in FinTech and Artificial Intelligence area.
The programme syllabus will enable to understand, execute and possibly develop disruptive financial innovations using appropriate tools and techniques. It aims at acquiring analytical skills to create, manage and interrogate large data sets applicable to the finance sector and build up a critical awareness of current issues in the FinTech landscape. A range of programming tools will facilitate implementations of financial models and allow participants to analyse and evaluate decision making process and data.
Participants may first acquire the main preliminary information and familiarise with the R environment thanks to the free course offered by the University of Naples Federico II (MOOC- www.federica.eu) Machine Learning e Data Mining in R at https://www.coursera.org/learn/machine-learning-data-mining-con-r
Maria Iannario, Professor of Statistics, University of Naples Federico II, Italy (Chair)
Codruta Mare, Professor of Econometrics, Babes-Bolyai University
Jörg Osterrieder, Professor of Finance and Artificial Intelligence at University of Twente (Netherlands) and Professor of Sustainable Finance at BFH (Switzerland)
Albulena Shala, Assistant Professor of Banking and Finance, Faculty of Economics, University of Prishtina (Kosovo)
Training School Secretariat
Maria Giovanna Porzio
Maria Iannario, Professor of Statistics, University of Naples Federico II, Italy (Local Chair)
Daniele Marazzina, Politecnico di Milano, Italy
Claudia Tarantola, Professor of Statistics, University of Pavia, Italy
Arianna Zanon, Synergia, Italy
Lucio Palazzo, University of Naples Federico II
Rosa Fabbricatore, University of Naples Federico II
Carla Galluccio, University of Florence
The conference is organized with the contribution of the Department of Political Science, University of Naples Federico II, and is sponsored by Synergia.
How to attend
The event is hybrid and open to everyone upon registration sending an e-mail at email@example.com
- Physically (Venue information is provided below)
- Remotely (Through the online Microsoft Link )
Department of Political Sciences, University of Naples Federico II,